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diff --git a/pnda-ztt-app/src/main/scala/com/github/benfradet/spark/kafka/writer/DStreamKafkaWriter.scala b/pnda-ztt-app/src/main/scala/com/github/benfradet/spark/kafka/writer/DStreamKafkaWriter.scala
new file mode 100644
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--- /dev/null
+++ b/pnda-ztt-app/src/main/scala/com/github/benfradet/spark/kafka/writer/DStreamKafkaWriter.scala
@@ -0,0 +1,50 @@
+/**
+ * Copyright (c) 2016-2017, Benjamin Fradet, and other contributors.
+ *
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you 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.
+ */
+
+package com.github.benfradet.spark.kafka.writer
+
+import org.apache.kafka.clients.producer.{Callback, ProducerRecord}
+import org.apache.spark.streaming.dstream.DStream
+
+import scala.reflect.ClassTag
+
+/**
+ * Class used for writing [[DStream]]s to Kafka
+ * @param dStream [[DStream]] to be written to Kafka
+ */
+class DStreamKafkaWriter[T: ClassTag](@transient private val dStream: DStream[T])
+    extends KafkaWriter[T] with Serializable {
+  /**
+   * Write a [[DStream]] to Kafka
+   * @param producerConfig producer configuration for creating KafkaProducer
+   * @param transformFunc a function used to transform values of T type into [[ProducerRecord]]s
+   * @param callback an optional [[Callback]] to be called after each write, default value is None.
+   */
+  override def writeToKafka[K, V](
+    producerConfig: Map[String, Object],
+    transformFunc: T => ProducerRecord[K, V],
+    callback: Option[Callback] = None
+  ): Unit =
+    dStream.foreachRDD { rdd =>
+      val rddWriter = new RDDKafkaWriter[T](rdd)
+      rddWriter.writeToKafka(producerConfig, transformFunc, callback)
+    }
+}