1) Design, develop, and implement ETL solutions using tools such as Informatica Powercenter, Databricks, Redshift, Tidal automation tool, and Teradata.2) Collaborate with cross-functional teams to analyze client requirements and deliver customized data solutions that meet business needs.3) Engage directly with retail chain clients to understand their data challenges, provide technical consultation, and deliver effective solutions.4) Proactively monitor data quality and integrity across systems, identifying and resolving discrepancies to ensure accuracy and reliability.5) Utilize programming languages including SQL, Python, Java, C, and C++ to optimize performance and develop custom solutions.6) Contribute to the improvement of data governance practices, compliance with industry standards, and overall data management strategy.

Built the data pipeline architecture of a data warehousing system in a team of 5 for an investors bank.

Training and project building on Data science