diff --git a/build.sbt b/build.sbt
index daabe0c..0bbaa30 100644
--- a/build.sbt
+++ b/build.sbt
@@ -74,7 +74,6 @@ lazy val core = (project in file("core"))
       // Distribution
       "javax.mail" % "mail" % "1.4.7",
       // Input / Output
-      "com.crealytics"    %% "spark-excel"            % s"${sparkVersion.value}_0.19.0",
       "org.elasticsearch" %% "elasticsearch-spark-30" % "8.4.3"
         exclude ("org.scala-lang", "scala-library")
         exclude ("org.scala-lang", "scala-reflect")
diff --git a/core/src/main/scala/com/amadeus/dataio/pipes/reporting/ExcelOutput.scala b/core/src/main/scala/com/amadeus/dataio/pipes/reporting/ExcelOutput.scala
deleted file mode 100644
index 427b72f..0000000
--- a/core/src/main/scala/com/amadeus/dataio/pipes/reporting/ExcelOutput.scala
+++ /dev/null
@@ -1,84 +0,0 @@
-package com.amadeus.dataio.pipes.reporting
-
-import com.amadeus.dataio.core.{Logging, Output}
-import com.typesafe.config.{Config, ConfigFactory}
-import org.apache.hadoop.fs.{FileSystem, Path}
-import org.apache.spark.sql.{Dataset, SparkSession}
-
-import scala.util.Try
-
-case class ExcelOutput(
-    path: String,
-    bufferPath: String,
-    sheetName: String,
-    options: Map[String, String] = Map(),
-    dropDuplicatesActive: Option[Boolean],
-    dropDuplicatesColumns: Seq[String],
-    config: Config = ConfigFactory.empty()
-) extends Output
-    with Logging {
-
-  /**
-   * Writes a data in an Excel file on a distributed filesystem.
-   *
-   * @param data  The data to write.
-   * @param spark The SparkSession which will be used to write the data.
-   */
-  override def write[T](data: Dataset[T])(implicit spark: SparkSession): Unit = {
-
-    writeBuffer(data)
-    val bufferedData = spark.read.format("parquet").load(bufferPath)
-
-    var excelWriter = bufferedData.write
-      .format("com.crealytics.spark.excel")
-      .option("dataAddress", s"$sheetName!A1")
-      .option("dateFormat", "yyyy-mm-dd")
-      .option("timestampFormat", "yyyy-mm-dd hh:mm:ss")
-      .option("header", "true")
-
-    if (options.nonEmpty) {
-      excelWriter = excelWriter.options(options)
-    }
-
-    logger.info(s"Writing $path!$sheetName report.")
-    excelWriter.mode("append").save(path)
-  }
-
-  /**
-   * Writes data as a parquet buffer.
-   *
-   * @param data         The buffered data to write.
-   * @param deleteOnExit Whether the buffer should be deleted when the application exits. Default to true
-   */
-  private def writeBuffer[T](data: Dataset[T], deleteOnExit: Boolean = true)(implicit spark: SparkSession): Unit = {
-    data.write
-      .format("parquet")
-      .mode("overwrite")
-      .save(bufferPath)
-
-    if (deleteOnExit) FileSystem.get(spark.sparkContext.hadoopConfiguration).deleteOnExit(new Path(bufferPath))
-  }
-}
-
-object ExcelOutput {
-  import com.amadeus.dataio.config.fields._
-
-  def apply(implicit config: Config): ExcelOutput = {
-
-    val path                  = getPath
-    val bufferPath            = config.getString("BufferPath")
-    val sheetName             = config.getString("SheetName")
-    val options               = Try(getOptions).getOrElse(Map())
-    val dropDuplicatesActive  = Try(getDropDuplicatesActive).toOption
-    val dropDuplicatesColumns = Try(getDropDuplicatesColumns).getOrElse(Nil)
-
-    ExcelOutput(
-      path,
-      bufferPath,
-      sheetName,
-      options,
-      dropDuplicatesActive,
-      dropDuplicatesColumns
-    )
-  }
-}