diff --git a/cpp/include/cudf/io/detail/csv.hpp b/cpp/include/cudf/io/detail/csv.hpp
index aac44bed50e..c190340f6c1 100644
--- a/cpp/include/cudf/io/detail/csv.hpp
+++ b/cpp/include/cudf/io/detail/csv.hpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2020, NVIDIA CORPORATION.
+ * Copyright (c) 2020-2021, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -40,45 +40,23 @@ table_with_metadata read_csv(std::unique_ptr<cudf::io::datasource>&& source,
                              rmm::cuda_stream_view stream,
                              rmm::mr::device_memory_resource* mr);
 
-class writer {
- public:
-  class impl;
-
- private:
-  std::unique_ptr<impl> _impl;
-
- public:
-  /**
-   * @brief Constructor for output to a file.
-   *
-   * @param sinkp The data sink to write the data to
-   * @param options Settings for controlling writing behavior
-   * @param stream CUDA stream used for device memory operations and kernel launches
-   * @param mr Device memory resource to use for device memory allocation
-   */
-  writer(std::unique_ptr<cudf::io::data_sink> sinkp,
-         csv_writer_options const& options,
-         rmm::cuda_stream_view stream,
-         rmm::mr::device_memory_resource* mr);  // cannot provide definition here (because
-                                                // _impl is incomplete hence unique_ptr has
-                                                // not enough sizeof() info)
-
-  /**
-   * @brief Destructor explicitly-declared to avoid inlined in header
-   */
-  ~writer();
+/**
+ * @brief Write an entire dataset to CSV format.
+ *
+ * @param sink Output sink
+ * @param table The set of columns
+ * @param metadata The metadata associated with the table
+ * @param options Settings for controlling behavior
+ * @param stream CUDA stream used for device memory operations and kernel launches.
+ * @param mr Device memory resource to use for device memory allocation
+ */
+void write_csv(data_sink* sink,
+               table_view const& table,
+               const table_metadata* metadata,
+               csv_writer_options const& options,
+               rmm::cuda_stream_view stream        = rmm::cuda_stream_default,
+               rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
-  /**
-   * @brief Writes the entire dataset.
-   *
-   * @param table Set of columns to output
-   * @param metadata Table metadata and column names
-   * @param stream CUDA stream used for device memory operations and kernel launches.
-   */
-  void write(table_view const& table,
-             const table_metadata* metadata = nullptr,
-             rmm::cuda_stream_view stream   = rmm::cuda_stream_default);
-};
 }  // namespace csv
 }  // namespace detail
 }  // namespace io
diff --git a/cpp/src/io/csv/durations.hpp b/cpp/src/io/csv/durations.hpp
new file mode 100644
index 00000000000..d42ddf3817c
--- /dev/null
+++ b/cpp/src/io/csv/durations.hpp
@@ -0,0 +1,39 @@
+/*
+ * Copyright (c) 2021, NVIDIA CORPORATION.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#pragma once
+
+#include <cudf/types.hpp>
+
+#include <rmm/cuda_stream_view.hpp>
+#include <rmm/mr/device/per_device_resource.hpp>
+
+#include <memory>
+
+namespace cudf {
+namespace io {
+namespace detail {
+namespace csv {
+
+std::unique_ptr<column> pandas_format_durations(
+  column_view const& durations,
+  rmm::cuda_stream_view stream,
+  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
+
+}  // namespace csv
+}  // namespace detail
+}  // namespace io
+}  // namespace cudf
diff --git a/cpp/src/io/csv/writer_impl.cu b/cpp/src/io/csv/writer_impl.cu
index e8c673751db..b9b6fc6cf94 100644
--- a/cpp/src/io/csv/writer_impl.cu
+++ b/cpp/src/io/csv/writer_impl.cu
@@ -19,17 +19,25 @@
  * @brief cuDF-IO CSV writer class implementation
  */
 
-#include "writer_impl.hpp"
+#include "durations.hpp"
+
+#include "csv_common.h"
+#include "csv_gpu.h"
 
 #include <cudf/column/column_device_view.cuh>
 #include <cudf/detail/copy.hpp>
 #include <cudf/detail/null_mask.hpp>
+#include <cudf/io/data_sink.hpp>
+#include <cudf/io/detail/csv.hpp>
 #include <cudf/null_mask.hpp>
 #include <cudf/scalar/scalar.hpp>
 #include <cudf/strings/detail/combine.hpp>
 #include <cudf/strings/detail/converters.hpp>
 #include <cudf/strings/detail/replace.hpp>
 #include <cudf/strings/detail/utilities.cuh>
+#include <cudf/strings/strings_column_view.hpp>
+#include <cudf/table/table.hpp>
+#include <cudf/utilities/error.hpp>
 
 #include <rmm/cuda_stream_view.hpp>
 #include <rmm/exec_policy.hpp>
@@ -40,13 +48,19 @@
 #include <thrust/scan.h>
 
 #include <algorithm>
+#include <memory>
 #include <sstream>
+#include <string>
+#include <vector>
 
 namespace cudf {
 namespace io {
 namespace detail {
 namespace csv {
 
+using namespace cudf::io::csv;
+using namespace cudf::io;
+
 namespace {
 
 /**
@@ -260,32 +274,16 @@ struct column_to_strings_fn {
 };
 }  // unnamed namespace
 
-// Forward to implementation
-writer::writer(std::unique_ptr<data_sink> sink,
-               csv_writer_options const& options,
-               rmm::cuda_stream_view stream,
-               rmm::mr::device_memory_resource* mr)
-  : _impl(std::make_unique<impl>(std::move(sink), options, mr))
-{
-}
-
-// Destructor within this translation unit
-writer::~writer() = default;
-
-writer::impl::impl(std::unique_ptr<data_sink> sink,
-                   csv_writer_options const& options,
-                   rmm::mr::device_memory_resource* mr)
-  : out_sink_(std::move(sink)), mr_(mr), options_(options)
-{
-}
-
 // write the header: column names:
 //
-void writer::impl::write_chunked_begin(table_view const& table,
-                                       const table_metadata* metadata,
-                                       rmm::cuda_stream_view stream)
+void write_chunked_begin(data_sink* out_sink,
+                         table_view const& table,
+                         table_metadata const* metadata,
+                         csv_writer_options const& options,
+                         rmm::cuda_stream_view stream,
+                         rmm::mr::device_memory_resource* mr)
 {
-  if (options_.is_enabled_include_header()) {
+  if (options.is_enabled_include_header()) {
     // need to generate column names if metadata is not provided
     std::vector<std::string> generated_col_names;
     if (metadata == nullptr) {
@@ -298,8 +296,8 @@ void writer::impl::write_chunked_begin(table_view const& table,
     CUDF_EXPECTS(column_names.size() == static_cast<size_t>(table.num_columns()),
                  "Mismatch between number of column headers and table columns.");
 
-    auto const delimiter  = options_.get_inter_column_delimiter();
-    auto const terminator = options_.get_line_terminator();
+    auto const delimiter  = options.get_inter_column_delimiter();
+    auto const terminator = options.get_line_terminator();
 
     // process header names:
     // - if the header name includes the delimiter or terminator character,
@@ -341,18 +339,21 @@ void writer::impl::write_chunked_begin(table_view const& table,
     }
     header.append(terminator);
 
-    out_sink_->host_write(header.data(), header.size());
+    out_sink->host_write(header.data(), header.size());
   }
 }
 
-void writer::impl::write_chunked(strings_column_view const& str_column_view,
-                                 const table_metadata* metadata,
-                                 rmm::cuda_stream_view stream)
+void write_chunked(data_sink* out_sink,
+                   strings_column_view const& str_column_view,
+                   table_metadata const* metadata,
+                   csv_writer_options const& options,
+                   rmm::cuda_stream_view stream,
+                   rmm::mr::device_memory_resource* mr)
 {
   // algorithm outline:
   //
   //  for_each(strings_column.begin(), strings_column.end(),
-  //           [sink = out_sink_](auto str_row) mutable {
+  //           [sink = out_sink](auto str_row) mutable {
   //               auto host_buffer = str_row.host_buffer();
   //               sink->host_write(host_buffer_.data(), host_buffer_.size());
   //           });//or...sink->device_write(device_buffer,...);
@@ -362,7 +363,7 @@ void writer::impl::write_chunked(strings_column_view const& str_column_view,
 
   CUDF_EXPECTS(str_column_view.size() > 0, "Unexpected empty strings column.");
 
-  cudf::string_scalar newline{options_.get_line_terminator()};
+  cudf::string_scalar newline{options.get_line_terminator()};
   auto p_str_col_w_nl =
     cudf::strings::detail::join_strings(str_column_view, newline, string_scalar("", false), stream);
   strings_column_view strings_column{p_str_col_w_nl->view()};
@@ -370,9 +371,9 @@ void writer::impl::write_chunked(strings_column_view const& str_column_view,
   auto total_num_bytes      = strings_column.chars_size();
   char const* ptr_all_bytes = strings_column.chars_begin();
 
-  if (out_sink_->is_device_write_preferred(total_num_bytes)) {
+  if (out_sink->is_device_write_preferred(total_num_bytes)) {
     // Direct write from device memory
-    out_sink_->device_write(ptr_all_bytes, total_num_bytes, stream);
+    out_sink->device_write(ptr_all_bytes, total_num_bytes, stream);
   } else {
     // copy the bytes to host to write them out
     thrust::host_vector<char> h_bytes(total_num_bytes);
@@ -383,30 +384,33 @@ void writer::impl::write_chunked(strings_column_view const& str_column_view,
                              stream.value()));
     stream.synchronize();
 
-    out_sink_->host_write(h_bytes.data(), total_num_bytes);
+    out_sink->host_write(h_bytes.data(), total_num_bytes);
   }
 
   // Needs newline at the end, to separate from next chunk
-  if (out_sink_->is_device_write_preferred(newline.size())) {
-    out_sink_->device_write(newline.data(), newline.size(), stream);
+  if (out_sink->is_device_write_preferred(newline.size())) {
+    out_sink->device_write(newline.data(), newline.size(), stream);
   } else {
-    out_sink_->host_write(options_.get_line_terminator().data(),
-                          options_.get_line_terminator().size());
+    out_sink->host_write(options.get_line_terminator().data(),
+                         options.get_line_terminator().size());
   }
 }
 
-void writer::impl::write(table_view const& table,
-                         const table_metadata* metadata,
-                         rmm::cuda_stream_view stream)
+void write_csv(data_sink* out_sink,
+               table_view const& table,
+               table_metadata const* metadata,
+               csv_writer_options const& options,
+               rmm::cuda_stream_view stream,
+               rmm::mr::device_memory_resource* mr)
 {
   // write header: column names separated by delimiter:
   // (even for tables with no rows)
   //
-  write_chunked_begin(table, metadata, stream);
+  write_chunked_begin(out_sink, table, metadata, options, stream, mr);
 
   if (table.num_rows() > 0) {
     // no need to check same-size columns constraint; auto-enforced by table_view
-    auto n_rows_per_chunk = options_.get_rows_per_chunk();
+    auto n_rows_per_chunk = options.get_rows_per_chunk();
     //
     // This outputs the CSV in row chunks to save memory.
     // Maybe we can use the total_rows*count calculation and a memory threshold
@@ -436,7 +440,7 @@ void writer::impl::write(table_view const& table,
 
     // convert each chunk to CSV:
     //
-    column_to_strings_fn converter{options_, stream, rmm::mr::get_current_device_resource()};
+    column_to_strings_fn converter{options, stream, rmm::mr::get_current_device_resource()};
     for (auto&& sub_view : vector_views) {
       // Skip if the table has no rows
       if (sub_view.num_rows() == 0) continue;
@@ -459,32 +463,21 @@ void writer::impl::write(table_view const& table,
       // concatenate columns in each row into one big string column
       // (using null representation and delimiter):
       //
-      std::string delimiter_str{options_.get_inter_column_delimiter()};
+      std::string delimiter_str{options.get_inter_column_delimiter()};
       auto str_concat_col = [&] {
         if (str_table_view.num_columns() > 1)
           return cudf::strings::detail::concatenate(str_table_view,
                                                     delimiter_str,
-                                                    options_.get_na_rep(),
+                                                    options.get_na_rep(),
                                                     strings::separator_on_nulls::YES,
                                                     stream);
-        cudf::string_scalar narep{options_.get_na_rep()};
+        cudf::string_scalar narep{options.get_na_rep()};
         return cudf::strings::detail::replace_nulls(str_table_view.column(0), narep, stream);
       }();
 
-      write_chunked(str_concat_col->view(), metadata, stream);
+      write_chunked(out_sink, str_concat_col->view(), metadata, options, stream, mr);
     }
   }
-
-  // finalize (no-op, for now, but offers a hook for future extensions):
-  //
-  write_chunked_end(table, metadata, stream);
-}
-
-void writer::write(table_view const& table,
-                   const table_metadata* metadata,
-                   rmm::cuda_stream_view stream)
-{
-  _impl->write(table, metadata, stream);
 }
 
 }  // namespace csv
diff --git a/cpp/src/io/csv/writer_impl.hpp b/cpp/src/io/csv/writer_impl.hpp
deleted file mode 100644
index 965c036dc75..00000000000
--- a/cpp/src/io/csv/writer_impl.hpp
+++ /dev/null
@@ -1,122 +0,0 @@
-/*
- * Copyright (c) 2020, NVIDIA CORPORATION.
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#pragma once
-
-#include "csv_common.h"
-#include "csv_gpu.h"
-
-#include <cudf/strings/strings_column_view.hpp>
-#include <io/utilities/hostdevice_vector.hpp>
-
-#include <cudf/detail/utilities/integer_utils.hpp>
-#include <cudf/io/data_sink.hpp>
-#include <cudf/io/detail/csv.hpp>
-#include <cudf/table/table.hpp>
-#include <cudf/utilities/error.hpp>
-
-#include <rmm/cuda_stream_view.hpp>
-
-#include <memory>
-#include <string>
-#include <vector>
-
-namespace cudf {
-namespace io {
-namespace detail {
-namespace csv {
-
-using namespace cudf::io::csv;
-using namespace cudf::io;
-
-/**
- * @brief Implementation for CSV writer
- */
-class writer::impl {
- public:
-  /**
-   * @brief Constructor with writer options.
-   *
-   * @param sink Output sink
-   * @param options Settings for controlling behavior
-   * @param mr Device memory resource to use for device memory allocation
-   */
-  impl(std::unique_ptr<data_sink> sink,
-       csv_writer_options const& options,
-       rmm::mr::device_memory_resource* mr);
-
-  /**
-   * @brief Write an entire dataset to CSV format.
-   *
-   * @param table The set of columns
-   * @param metadata The metadata associated with the table
-   * @param stream CUDA stream used for device memory operations and kernel launches.
-   */
-  void write(table_view const& table,
-             const table_metadata* metadata = nullptr,
-             rmm::cuda_stream_view stream   = rmm::cuda_stream_default);
-
-  /**
-   * @brief Write the header of a CSV format.
-   *
-   * @param table The set of columns
-   * @param metadata The metadata associated with the table
-   * @param stream CUDA stream used for device memory operations and kernel launches.
-   */
-  void write_chunked_begin(table_view const& table,
-                           const table_metadata* metadata = nullptr,
-                           rmm::cuda_stream_view stream   = rmm::cuda_stream_default);
-
-  /**
-   * @brief Write dataset to CSV format without header.
-   *
-   * @param strings_column Subset of columns converted to string to be written.
-   * @param metadata The metadata associated with the table
-   * @param stream CUDA stream used for device memory operations and kernel launches.
-   */
-  void write_chunked(strings_column_view const& strings_column,
-                     const table_metadata* metadata = nullptr,
-                     rmm::cuda_stream_view stream   = rmm::cuda_stream_default);
-
-  /**
-   * @brief Write footer of CSV format (typically, empty).
-   *
-   * @param table The set of columns
-   * @param metadata The metadata associated with the table
-   * @param stream CUDA stream used for device memory operations and kernel launches.
-   */
-  void write_chunked_end(table_view const& table,
-                         const table_metadata* metadata = nullptr,
-                         rmm::cuda_stream_view stream   = rmm::cuda_stream_default)
-  {
-    // purposely no-op (for now);
-  }
-
- private:
-  std::unique_ptr<data_sink> out_sink_;
-  rmm::mr::device_memory_resource* mr_ = nullptr;
-  csv_writer_options const options_;
-};
-
-std::unique_ptr<column> pandas_format_durations(
-  column_view const& durations,
-  rmm::cuda_stream_view stream,
-  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
-
-}  // namespace csv
-}  // namespace detail
-}  // namespace io
-}  // namespace cudf
diff --git a/cpp/src/io/functions.cpp b/cpp/src/io/functions.cpp
index b678941db21..746148d24cc 100644
--- a/cpp/src/io/functions.cpp
+++ b/cpp/src/io/functions.cpp
@@ -219,10 +219,14 @@ void write_csv(csv_writer_options const& options, rmm::mr::device_memory_resourc
   using namespace cudf::io::detail;
 
   auto sink = make_datasink(options.get_sink());
-  auto writer =
-    std::make_unique<csv::writer>(std::move(sink), options, rmm::cuda_stream_default, mr);
 
-  writer->write(options.get_table(), options.get_metadata());
+  return csv::write_csv(  //
+    sink.get(),
+    options.get_table(),
+    options.get_metadata(),
+    options,
+    rmm::cuda_stream_default,
+    mr);
 }
 
 namespace detail_orc = cudf::io::detail::orc;