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Data Engineer with less than a year in SQL, Oracle & Data Warehousing
Proficient in utilizing Oracle for advanced data analysis, skilled in developing complex SQL queries, unions, multiple table joins, and window functions to validate database tables and generate backend reports for backend database testing. Specialized in troubleshooting and resolving database performance issues, optimizing performance bottlenecks, and tuning mappings across various levels including sources, targets, mappings, and sessions. Skilled in developing and executing detailed test plans, test cases, test scenarios, and test strategies. Experienced in defect management, ensuring strict quality assurance and adherence to business requirements. Experienced in developing materialized views for data replication in distributed environments. Comprehensive knowledge of logical and physical data modeling using normalization techniques to enhance data integrity and performance.
Jayoti Vidyapeeth women's university
Bachelor of Technology · Computer Science and Engineering
August 1, 2016 – June 30, 2020
H.P.R.R.A Inter College
Senior Secondary (10+2) standard
June 1, 2015 – May 31, 2016
Enterprise Data Warehouse applications
July 1, 2020 – June 1, 2026
The projects involve development Enterprise Data Warehouse applications. It deals with bringing in the Telecomm data load them into desired tables as per requirements. Worked extensively with Oracle and PL/SQL for database management and scripting. Data warehouse concept, data modeling. Contributed to optimizing database queries, reducing execution time by 30%. Developed and optimized SQL and PL/SQL scripts to enhance database functionality and ensure seamless data processing. Actively involved in Unit Testing to validate individual components, ensuring that each unit performed as expected. Collaborated with team members to identify and resolve bugs, ensuring high-quality deliverables. Performed end to end operations in project. Modification and bugs solving in project. Collaborate with team to ensure good communication between team.
SQL Programming Basics Certificate
Udemy
June 1, 2026 – Present
Python for Data Science
DUCAT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience is focused on Enterprise Data Warehouse applications, which aligns well with a Data Engineer role. The listed skills (SQL, Oracle, PL/SQL, data modeling) are directly applicable. However, the breadth of technologies beyond Oracle/PL/SQL is limited, which might impact adaptability to diverse data ecosystems. The certifications in SQL and Python for Data Science show initiative for skill development.
Soft Skills & Operational Fit
The candidate demonstrates collaboration skills through teamwork in bug resolution and communication. The project description indicates an ability to perform end-to-end operations and problem-solving (modification and bug solving).