Headline

Data Engineer | Immediate Joiner | Azure · Microsoft Fabric · Databricks · PySpark | ETL Pipelines · Synapse Analytics · Delta Lake | Power BI | Open to Data Engineering & AI Roles

About

I build data pipelines that actually survive production. Most recently at DataPhi-AI, I engineered a 58-table end-to-end ETL system on Microsoft Fabric for a real estate client — architecting master pipelines with invoke patterns, cutting storage overhead by 35%, and building checkpoint-based recovery mechanisms so pipelines resume from the last failed step instead of rerunning from scratch. I work across the full data engineering stack: • Cloud infrastructure: Azure Synapse Analytics, Microsoft Fabric, Databricks • Pipeline orchestration: Apache Airflow, Azure Data Factory, PySpark • Data modelling & quality: Delta Lake, SQL, custom reconciliation scripts • Business intelligence: Power BI dashboards for real-time KPI tracking What makes me different: I close the gap between data engineering and business outcomes. I don't just ship tables — I make sure the right data reaches the right stakeholder, on time, every time. I hold a PG Diploma in Big Data Analytics from Sunbeam Institute, and I'm actively available from 1 June 2026 — looking for my next role where I can build data systems at scale. Available immediately from 1 June 2026. Open to: Data Engineer · Analytics Engineer · Data Platform Engineer · BI Engineer. DMs open.

Location

Pune Division

Work experience

Data Analyst at MMJS DataPhi, Sep 2025 - May 2026 · 9 mos, Pune Division, Maharashtra, India, • Architected a 58-table master ETL pipeline on Microsoft Fabric for a real estate client, covering 2 source systems end-to-end — delivering analysis-ready datasets that eliminated ad-hoc manual reporting pulls for business stakeholders. • Engineered a checkpoint-based pipeline recovery system that resumes execution from the exact point of failure, eliminating full reruns across 58 tables and reducing pipeline SLA breach risk — shipped before last working day as a handover-ready feature. • Implemented VACUUM + OPTIMIZE maintenance pipeline on Delta Lake tables, achieving 35% reduction in storage costs and 28% improvement in query performance. • Diagnosed and resolved a critical Azure Key Vault integration failure in Microsoft Fabric, restoring secure credential access and unblocking the team with zero data exposure. • Designed and maintained 2 production Power BI dashboards for real-time KPI tracking; served as the primary data contact, resolving stakeholder queries and preventing pipeline downtime. • Extended an Apache Airflow-based data monitoring pipeline with new observability columns and bug fixes, improving data visibility across the pipeline monitoring layer. • Built custom data reconciliation and profiling scripts to validate consistency across all pipeline layers, improving data quality across bronze, silver, and gold layers.

CAP Associate at Amazon, Jun 2024 - Jan 2025 · 8 mos, Pune District, Maharashtra, India

Web development and Designing intern at INTERNSAVY, Apr 2023 - May 2023 · 2 mos, Pune District, Maharashtra, India, • Built a real-time weather application with live API integration (OpenWeatherMap), demonstrating early-career ability to connect data sources to end-user interfaces. • Developed a task management web app in vanilla HTML/CSS/JS, shipped end-to-end within a 2-month sprint window.

Student Intern at VOIS, Aug 2022 - Oct 2022 · 3 mos, • Led a 4-person team to build a pothole detection system using AI/computer vision for drone-mounted cameras, delivering an automated inspection report for government infrastructure use. • Received structured mentorship in AI, Power BI, and Cloud Computing as part of the Tech University Engagement Innovation Marathon 2022.

Machine Learning Intern at Knowledge Solutions India, Sep 2021 - Nov 2021 · 3 mos, • Led a team of 4 to build an insurance cost predictor using Random Forest Regressor, delivering a working ML model as a capstone for a 6-week Microsoft-mentored program. • Applied supervised learning algorithms (RFR, SVM, KNN) to structured tabular data — laying the statistical foundation for later data engineering work.

Education

Postgraduate Diploma, PG Diploma in Big Data Analytics, SunBeam Institute of Information Technology, Pune-Karad

Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering, JSPMs Jayawantrao Sawant College of Engineering, Handewadi Road, Hadapsar, Pune 28.