Headline

Azure Data Engineer | Data Governance & Analytics Engineering | Azure | Databricks | ADF | Python | SQL | Building Scalable & AI-Ready Data Platforms

About

I am a Data Engineer and Analytics Engineering professional with 4+ years of experience designing scalable, governed, and business-ready data platforms in the Azure ecosystem. I specialize in building end-to-end data solutions - from ingestion and transformation to modeling, governance, and executive reporting. My expertise lies in turning fragmented, raw datasets into reliable, standardized, and analytics-ready assets using Azure Data Factory, Databricks, PySpark, SQL, and Python. What I Bring to the Table: • Design of scalable ETL/ELT pipelines using Azure Data Factory & Databricks • Implementation of Medallion Architecture (Bronze–Silver–Gold layers) • Data Governance & KPI standardization across cross-functional teams • Metadata management, data lineage, and documentation • Data quality automation reducing reporting latency by 30% • Statistical analysis (Regression, Segmentation, Key Driver Analysis) • Dashboarding & executive reporting using Tableau & Excel I work closely with business, product, and analytics stakeholders to translate requirements into structured data models and governed reporting systems that drive confident decision-making. Recently expanded my expertise in Artificial Intelligence and Generative AI through Qualcomm’s AI Upskilling certification, strengthening my ability to build AI-ready data foundations. Currently open to opportunities in: Data Engineering | Analytics Engineering | Data Governance | AI-Driven Data Platforms

Location

Greater Bengaluru Area

AI stack

aistudio

antigravity

claude code

cursor

gemini

geminicli

Work experience

Software Engineer at MMA (Marketing Management Analytics), Jan 2022 - Present · 4 yrs 8 mos, Bengaluru, • Designed and implemented scalable ETL pipelines using Azure Data Factory and Databricks to process structured and semi-structured datasets. • Built PySpark-based transformation workflows following Medallion Architecture principles to ensure clean, reliable data layers. • Standardized KPIs and business definitions across multiple analytics projects, improving reporting consistency and governance. • Automated validation and quality checks using Python, reducing reporting latency by 30%. • Developed logical data models and schema designs to support harmonized analytics across multiple sources. • Created metadata documentation, data dictionaries, and lineage mapping for improved transparency and maintainability. • Delivered executive dashboards in Tableau and Excel supporting strategic decision-making. • Conducted advanced statistical analysis including regression modeling and segmentation for marketing insights.

Data Analyst intern at TheScholar, Sep 2020 - Apr 2021 · 8 mos, Gurugram, Haryana, India, - Built and maintained interactive dashboards for academic performance tracking using Excel and Python. - Conducted statistical analysis on student data to uncover actionable insights, contributing to curriculum improvements. - Assisted in the automation of data collection processes, increasing data accuracy and efficiency by 25%.

Education

Bachelor of Technology - BTech, Computer Science & Engineering, Dr. Ram Manohar Lohia Awadh University, Faizabad

Bachelor of Science - BS, Mathematics, Chatrapati Sahuji Maharaj Kanpur University, Kanpur