

Data-driven professional with 7.9+ years of experience in database development, data transformation, and enterprise banking systems, with a strong focus on transitioning into a Data Engineer role.
Expertise in Oracle PL/SQL, SQL Server, and ETL processes, with hands-on experience in developing scalable data solutions for banking applications such as Flexcube, Finacle, Finnone, and Pennant. Proven ability to design and optimize high-performance queries, stored procedures, and data pipelines for large-scale transactional systems.
Experienced in data migration (Oracle to SQL Server), data validation, and building data marts for regulatory reporting (RBI). Hands-on exposure to ETL tools like Pentaho and dashboarding using Apache Superset.
Working knowledge of Python (Pandas) for data cleaning, transformation, and automation. Familiar with Azure DevOps Pipelines, Git, and CI/CD practices, enabling support for modern data workflows.
Strong analytical mindset with proven ability to solve complex data problems and deliver efficient solutions in Agile environments.
Apache Superset,Anaconda(Jupyter Notebook).
Good Exposure to Dynamic SQL
Familiar with Git Repository , Jenkins Deployment
SKILL SET
DATABASE(S) - ORACLE 10G,11G,12C, SQL Server, MYSQL
OPERATING SYSTEMS - WINDOWS 10,8,7
LANGUAGES/SCRIPTING - SQL, PL/SQL, UNIX, Python
DATABASE TOOLS - ORACLE SQL DEVELOPER, TOAD, SSMS
Azure pipeline
Basic Python Knowlede
Pentaho
Apache superset
Program revision documentation
Problem diagnosis
Debugging code
SSIS Tool