Creating ETL pipeline in batch process, using PySpark, Pandas in Python on daily bases. SQL procedures, function and Views. Extensive experience in AWS services like, Glue, S3, Athena, Redshift and workflow orchestration and big data analysis like Hadoop, Apache Airflow, Spark. Experience with data pipeline and scheduling/workflow management service of AWS. Drive data ingestion and processing from a variety of sources systems, to prepare for usage in reporting, analysis and machine learning/data science applications Extensive experience in Microsoft Power BI, from basic to advance DAX functions. Created weekly, monthly and daily reports along with Ad-hoc requirements. Experience in data modelling in Power BI. Version control software 'bitbucket' and Git. 4+ years of experience as SQL developer expert in SSIS & SSMS, involved in running complex and subquering for programming and retrieving data.