Data Engineer | PostgreSQL, Oracle | Python | ETL Pipelines, Data Modeling, Query Optimization | Cloud (AWS)

Bangalore Urban

Bangalore Urban, Karnataka, India







Bachelor of Engineering, Computer Science
Nagarjuna College of Engineering and Technology
Science
MES Kishore Kendra PU college
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I'm a Database Developer at Quantum Asia Pvt Ltd, working on large-scale government tax systems (Professional Tax, VAT, e-Way Bill) for National Informatics Centre (NIC). I specialize in PostgreSQL and SQL Server backend development — query optimization, stored procedures/functions/triggers, indexing for high-volume datasets, and production database stability. I work daily with transactional datasets spanning millions of records, tuning queries that power real-time government reporting systems. I'm extending this foundation into data engineering — building end-to-end ETL pipelines with Python, Airflow, and Docker, and working with cloud data warehouses (BigQuery). Recent projects include a star-schema retail pipeline with automated data quality checks and a SQL-based customer segmentation analysis with Power BI dashboards. B.E. Computer Science (Data Science) | Google Data Analytics Certified | Previously Technical Support Engineer at HP Skills: PostgreSQL, SQL Server, Oracle, PL/SQL, Python, Pandas, ETL/Data Pipelines, Airflow, Docker, Power BI, Data Visualization, AWS
Greater Bengaluru Area
antigravity
claude code
gemini
grok
openai
Microsoft Copilot
Database Engineer at Quantum Asia Pvt Ltd., Feb 2025 - Present · 1 yr 9 mos, Bangalore Urban, • Own end-to-end database development for the Commercial Tax Department at NIC (Govt of India), supporting citizen-facing tax systems spanning 50+ tables and millions of records • Design and optimize PostgreSQL and Microsoft SQL Server databases for Professional Tax, VAT, and e-Way Bill applications • Write and tune complex SQL, PL/SQL procedures, and functions — cut key report runtime from ~1 minute to 2-3 seconds through indexing and query optimization • Resolve data reconciliation and reporting mismatches, reducing data inconsistency incidents by 40% • Handle production database issues and data migrations across live government systems • Collaborate with developers, testers, and domain teams on backend performance and data reliability
Technical Support Engineer at HP, Jun 2024 - Nov 2024 · 6 mos, Bangalore Urban, Karnataka, India, • Supported and troubleshot enterprise systems at HP. • Analyzed logs, system data, and database-related issues in production environments. • Collaborated with cross-functional teams to resolve incidents and improve stability.
Data Analyst at Skill India (IIT Mandi), Mar 2024 - May 2024 · 3 mos, Performed data validation, pre-processing, and quality checks on datasets.
Artificial Intelligence Intern at Giga Skill Technologies, Mar 2024 - Apr 2024 · 2 mos, Built ML models in Python for a real-time driver drowsiness detection system, analyzing sensor/image data for classification accuracy.
Bachelor of Engineering, Computer Science, Nagarjuna College of Engineering and Technology
Science, MES Kishore Kendra PU college
github: https://github.com/anushav-12
leetcode: https://leetcode.com/anushav1212
anushav-12.github.io: https://anushav-12.github.io/