Susheel Bagde

Summary: Highly-skilled and driven AWS Big data engineer with 5+ years of experience in Hadoop technologies. Seeking to effectively design and support AWS environment. Experience and Skills: • Over all 15+ years of IT experience as an Application/Analyst lead. Which includes 5 years of experience in Data Engineering and Bigdata technologies. • Strong Experience in data engineering and building ETL pipelines on batch and streaming data using Pyspark, SparkSQL. • Good working exposure on Cloud technologies of AWS S3, IAM Role, Lambda, SQS and SNS, Dynamo-DB , App-Flow, Api-gateway, Redshift, Redshift- Spectrum, Athena, AWS - EC2, Athena Federated Query with Dynamo DB, Amazon AppFlow, AWS Cloud9, Lambda Layer, AWS Glue Classifiers, Glue job bookmark, AWS Lake Formation. • Strong programming knowledge of Java/J2EE technologies and experience with Python 3. • Strong experience in Data Engineering technologies which includes Hadoop-2, HDFS, Spark & Scala, Hive, HBase, Kafka, PostgreSQL. • Strong Working 10 years of experience in software development and support using Java/J2EE technologies. • Proficient in performing Root Cause Analysis, Impact Analysis on large volume of datasets. • Experience in querying Oracle, Redshift, Athena, postgresql, MS SQL server databases with Solid understanding of RDBMS database concepts including performance tuning and Query optimization. Professional Summary: • Currently associates with Capgemini Mumbai as a Sr. Analyst July 2010 to till date. • Previously worked with Reliance Info Solutions, Mumbai as a Software Developer Aug 2006 to July 2010. Technical Skills: • Cloud Technologies: AWS S3, Lambda, IAM, AWS-Glue, SQS, SNS, Dynamo-DB, App-Flow, Api-gateway, Athena, AWS - EC2,Redshift, Redshift- Spectrum, Federated Query with, AWS Cloud9, Lambda Layer, AWS Glue Classifiers, Glue job bookmark, AWS Lake Formation. • Big Data Ecosystem: Pyspark, Spark, Scala, HDFS, Hive, HBase, Sqoop, Kafka, PostgreSQL. • Databases: AWS-Redshift, Redshift-spectrum, Oracle, PostgreSQL, MS SQL server. • Programming Languages: Python-3, Java/J2EE Technologies: JSP & Servlet, Apache Struts, Spring MVC, JUnit, Hibernate, JDBC. • Interface Development Environment (IDE): Eclipse, Jupyter, MS Visual Studio. • Apache Spark, Spark SQL • Servers: Apache Tomcat 6.x, JBoss, Web-Logic.