-Over 8.5 years of professional work experience in design and developing Big Data and ETL solutions with expertise on PySpark, Scala, ADX and SQL -Interacting with Product Owner and Stakeholders to understand business requirements. -Preparing Data lineage,Data Models,RFP documents and Data quality frameworks for Data Projects. -Setting up Infrastructure on cloud for data pipeline executions. -Responsible for core development of the end to end data project in given deadline. -Experience on design and development of ETL Big data pipelines. -Exposure to different Big Data ecosystem and Data Lake infrastructures like Hadoop, Spark,Spark streaming,HDFS, Hive, MongoDB, Google Big Query ,ADX, Kusto query and Migration Projects. -Ingest, Curate and transform raw data to enriched data required for Business with optimized Solutions. -Databricks and Microsoft Azure certified Data Engineer. -Data Pipeline optimization,performance improvements. -Continuous Integration and deployment (CI/CD) of production code using Git or Azure Devops. -Azure Services- Azure DataFactory, Azure Datalake, Azure Databricks, Azure HDInsight, Azure Synapse,Logic Apps. -Like to compete in different hackathons to step up in learning new technologies. -Love to understand, analyse and play with the data to bring out business insights -Data Visualisation on PowerBI and Grafana