Headline

Azure Data Engineer @ Deloitte · Building Scalable ETL Pipelines & Cloud Data Platforms | Azure Certified |Databricks | ETL Developer | Data Warehousing | Informatica | SQL

About

I’m a Data Engineer with 2+ years of experience designing and building scalable data pipelines, currently working at Deloitte USI. I specialize in ETL development, cloud data migration, and data modeling using tools like Informatica PowerCenter, Azure Databricks, and SQL. My work focuses on transforming raw data into reliable, analytics-ready datasets that support business decision-making. In my current role, I’ve built and optimized enterprise-grade ETL pipelines and implemented Bronze–Silver–Gold architectures processing millions of records with over 99% data accuracy. I’ve also authored 100+ mapping specifications, reducing development rework by 20%, and resolved 40+ UAT defects through deep data validation and lineage analysis. I have hands-on experience in data warehousing, SCD Type 1 & 2 implementations, MD5 hashing, and large-scale data reconciliation across on-premise and cloud environments. I’ve worked across cross-functional teams to deliver high-quality data solutions while improving onboarding efficiency and documentation standards.I hold a Microsoft Certified Azure Data Engineer Associate (DP-203) certification While my current experience is centered on relational and cloud data systems, I’m actively expanding my expertise into Graph Databases, graph data modeling, and advanced query optimization to build more connected and intelligent data systems. I’m open to opportunities in Data Engineering where I can contribute to building scalable data platforms and continue growing in areas like graph data processing and cloud-native architectures. 👉 Let’s connect if you’re hiring or working on exciting data engineering problems!

Location

Bengaluru

AI stack

claude code

gemini

githubcopilot

ChatGPT

Work experience

Associate data engineer at Deloitte, Oct 2023 - Present · 2 y 11 mo, Bengaluru, Designed and maintained end-to-end ETL pipelines using Informatica and Azure Databricks, processing enterprise datasets across on-premise and Azure cloud environments — reducing pipeline execution time by ~30% through query and job optimizations. • Architected Bronze–Silver–Gold data lake layers on ADLS Gen2, enabling clean separation of raw, curated, and analytics-ready data for 3+ enterprise client projects. • Built dimensional models and data warehouse schemas (star & snowflake) supporting business intelligence and reporting workloads, improving analyst query turnaround time by ~40%. • Collaborated with cross-functional teams across data, business, and client stakeholders to ensure data quality SLAs, pipeline reliability, and timely delivery of analytics deliverables. • Recognized with the Deloitte Applause Award for exceptional delivery and client impact within the first year of joining.

Education

Master of Business Administration, Business analytics, amity University

BSC data science, Data science, Sri Sri University