diff --git a/README.md b/README.md
index a9c2f43..c9c8c83 100644
--- a/README.md
+++ b/README.md
@@ -16,14 +16,14 @@ You can link against this library in your program at the following ways:
 <dependency>
 	<groupId>com.springml</groupId>
 	<artifactId>spark-sftp_2.11</artifactId>
-	<version>1.1.3</version>
+	<version>1.2.0</version>
 </dependency>
 
 ```
 
 ### SBT Dependency
 ```
-libraryDependencies += "com.springml" % "spark-sftp_2.11" % "1.1.3"
+libraryDependencies += "com.springml" %% "spark-sftp" % "1.2.0"
 ```
 
 
@@ -31,7 +31,7 @@ libraryDependencies += "com.springml" % "spark-sftp_2.11" % "1.1.3"
 This package can be added to Spark using the `--packages` command line option.  For example, to include it when starting the spark shell:
 
 ```
-$ bin/spark-shell --packages com.springml:spark-sftp_2.11:1.1.3
+$ bin/spark-shell --packages com.springml:spark-sftp_2.11:1.2.0
 ```
 
 ## Features
@@ -171,4 +171,4 @@ write.df(df,
 
 
 ## Building From Source
-This library is built with [SBT](http://www.scala-sbt.org/0.13/docs/Command-Line-Reference.html), which is automatically downloaded by the included shell script. To build a JAR file simply run `build/sbt package` from the project root.
+This library is built with [SBT](http://www.scala-sbt.org/0.13/docs/Command-Line-Reference.html), which is automatically downloaded by the included shell script. To build a JAR file simply run `build/sbt +package` from the project root.
diff --git a/build.sbt b/build.sbt
index ba0e3f0..ed95bbe 100644
--- a/build.sbt
+++ b/build.sbt
@@ -2,32 +2,31 @@ name := "spark-sftp"
 
 organization := "com.springml"
 
-scalaVersion := "2.11.8"
+scalaVersion := "2.12.10"
 
-sparkVersion := "2.3.0"
+crossScalaVersions := Seq("2.11.12", "2.12.10")
+
+sparkVersion := "2.4.3"
 
 spName := "springml/spark-sftp"
 
-version := "1.1.4"
+version := "1.2.0"
 
 // Dependent libraries
 libraryDependencies ++= Seq(
   "com.springml" % "sftp.client" % "1.0.3",
   "org.mockito" % "mockito-core" % "2.0.31-beta",
-  "com.databricks" % "spark-xml_2.11" % "0.4.1"
+  "com.databricks" %% "spark-xml" % "0.5.0"
 )
 
 // used spark components
-sparkComponents += "sql"
+sparkComponents ++= Seq("sql", "avro")
 
 // Repositories
 resolvers += "Spark Package Main Repo" at "https://dl.bintray.com/spark-packages/maven"
 
-// Spark packages
-spDependencies += "com.databricks/spark-avro_2.11:3.2.0"
-
 // Test dependencies
-libraryDependencies += "org.scalatest" %% "scalatest" % "2.2.1" % "test"
+libraryDependencies += "org.scalatest" %% "scalatest" % "3.0.3" % "test"
 libraryDependencies += "org.apache.avro" % "avro-mapred" % "1.7.7" % "test" exclude("org.mortbay.jetty", "servlet-api")
 libraryDependencies +=  "org.apache.spark" %% "spark-hive" % sparkVersion.value % "test"
 
diff --git a/src/main/scala/com/springml/spark/sftp/DatasetRelation.scala b/src/main/scala/com/springml/spark/sftp/DatasetRelation.scala
index 60b341c..19cdf58 100644
--- a/src/main/scala/com/springml/spark/sftp/DatasetRelation.scala
+++ b/src/main/scala/com/springml/spark/sftp/DatasetRelation.scala
@@ -1,6 +1,5 @@
 package com.springml.spark.sftp
 
-import com.databricks.spark.avro._
 import org.apache.log4j.Logger
 import org.apache.spark.rdd.RDD
 import org.apache.spark.sql.{DataFrame, Row, SQLContext}
@@ -36,7 +35,7 @@ case class DatasetRelation(
       var df: DataFrame = null
 
       df = fileType match {
-        case "avro" => dataframeReader.avro(fileLocation)
+        case "avro" => dataframeReader.format("avro").load(fileLocation)
         case "txt" => dataframeReader.format("text").load(fileLocation)
         case "xml" => dataframeReader.format(constants.xmlClass)
           .option(constants.xmlRowTag, rowTag)
diff --git a/src/main/scala/com/springml/spark/sftp/DefaultSource.scala b/src/main/scala/com/springml/spark/sftp/DefaultSource.scala
index a62e57a..0e75007 100644
--- a/src/main/scala/com/springml/spark/sftp/DefaultSource.scala
+++ b/src/main/scala/com/springml/spark/sftp/DefaultSource.scala
@@ -256,7 +256,7 @@ class DefaultSource extends RelationProvider with SchemaRelationProvider with Cr
                     optionNoNull("codec", Option(codec)).
                     csv(hdfsTempLocation)
       case "txt" => df.coalesce(1).write.text(hdfsTempLocation)
-      case "avro" => df.coalesce(1).write.format("com.databricks.spark.avro").save(hdfsTempLocation)
+      case "avro" => df.coalesce(1).write.format("avro").save(hdfsTempLocation)
       case _ => df.coalesce(1).write.format(fileType).save(hdfsTempLocation)
     }