Headline

Data Engineer / Data Specialist | Analytics | SQL | PostgreSQL | Azure | Databricks | Power BI | PySpark | Python | JSON | AI | Microsoft Fabric | ETL/ELT | Excel | Git

About

I am a Data Engineer/ Data Specialist with a strong analytics focus, bringing nearly 4 years of experience across the entire data lifecycle—from data ingestion and transformation to analysis, visualization, and business reporting. At SUN Mobility, I work with high-volume transactional and IoT datasets that support mission-critical electric mobility operations across India. I design and optimize PostgreSQL databases, perform advanced SQL analysis, and build reliable data models that enable accurate reporting and insights. I develop and automate ETL pipelines using Python, integrate data across systems using Azure and Databricks, and support scalable cloud-based analytics workflows. On the analytics side, I collaborate closely with operations, finance, and product teams to perform ad-hoc analysis, KPI tracking, trend analysis, and root-cause investigations, turning raw data into actionable insights. I build interactive Power BI dashboards using DAX to monitor operational performance, financial metrics, and business KPIs, while ensuring data quality, validation, and consistency across reporting layers. I focus on automation, performance optimization, and data reliability, and enjoy solving complex data problems that drive measurable business outcomes. Core Skills: SQL | PostgreSQL | Data Analysis | Data Engineering | Python | ETL Pipelines | Azure Storage | Databricks | Power BI | DAX | Data Modeling | Analytics | Automation | APIs | Git

Location

Bengaluru

AI stack

hugging face

langchain

ollama

openai

Work experience

Database Engineer/ Data Specialist at SUN Mobility, Mar 2022 - Jan 2026 · 3 yrs 11 mos, Bengaluru, • Designed and optimized PostgreSQL database architectures supporting high-volume transactional + IoT datasets. • Improved SQL performance by 30–50% using indexing, partitioning, query plan tuning, and schema refinements. • Automated ETL workflows using Python + SQL, reducing manual intervention and processing time by 40%. • Developed Power BI dashboards for operations, finance, and product teams—enhancing data-driven decision-making. • Built PL/SQL stored procedures, data validation scripts, and audit checks to maintain data integrity. • Worked with Azure, Databricks, APIs, and internal services to support cross-platform data movement. • Collaborated with product, operations, and engineering teams to convert analytical requirements into technical solutions. Technical Skills • Databases: PostgreSQL, MySQL, SQL Server • SQL Expertise: Query Optimization, Joins, Window Functions, CTEs, Partitioning, Indexing • Data Engineering: ETL Pipelines, Data Modeling, Data Warehousing Concepts, JSON • Programming: Python, PL/SQL, PySpark, Spark SQL. • Libraries: Pandas, NumPy, Matplotlib • Cloud/Big Data: Azure Storage, Databricks, Spark. • BI Tools: Power BI, DAX, Data Transformations • Tools: Git, API Integrations, DevOps, Jira

Education

Bachelor's degree, Engineering, Sjb institute of technology