Sep 2025 – Mar 2026 · 6 mos · Gurugram, Haryana, India · On-site

• Owned scalable data pipelines from ingestion to analytics layers, implementing medallion architecture, incremental processing, and schema-drift handling to ensure reliable, analytics-ready data.
• Optimized PySpark workloads using partitioning and join strategies to handle large-volume datasets efficiently while reducing compute costs and processing time.
• Partnered with business and analytics teams to design dimensional models and KPIs, improving reporting accuracy and decision-making speed.
• Established monitoring, alerting, and RCA practices for data pipelines, improving system reliability and reducing production incidents.

Aug 2024 – Aug 2025 · 1 yr · Bengaluru, Karnataka, India · Hybrid

• Built and optimized ETL pipelines using Azure Data Factory (ADF) to ingest structured and unstructured data from SQL Server, Blob Storage, and REST APIs, reducing manual efforts by 70%
• Scheduled and maintained ADF pipelines with incremental loads and Data Flow transformations, improving refresh time by 40%
• Engineered star schema data models within Azure Synapse Analytics, reducing query response times by 60% and increasing report generation speed by 45% for stakeholders
• Implemented Azure Function-based alerting system to notify data engineers of pipeline failures, cutting issue identification time by 60% and improving overall data pipeline reliability
• Integrated webhook notifications and real-time alerts via Azure Functions within ADF pipelines, improving issue resolution time by 50%
• Applied partitioning and distribution techniques in Synapse to optimize query execution on 500M+ record datasets
• Collaborated with analysts and business teams to define 20+ KPIs and design dimensional data models, resulting in a 30% improvement in reporting accuracy and 40% faster decision-making cycles
• Mentored junior data engineers and analysts on Spark optimization, SQL performance tuning, and best practices in cloud-based data architecture.

Nov 2022 – Feb 2023 · 3 mos

• I was part of the Namaste React Bootcamp organised by Akshay Saini.
• I was awarded as Top Performer of the Bootcamp consisting of 100 software engineers.

Jan 2022 – Aug 2024 · 2 yrs 7 mos · Remote

• Engineered scalable DBT projects using modular structure, Jinja macros, and layered architecture, reducing pipeline complexity by 30%
• Developed reusable macros and materializations in DBT to standardize transformation logic, cutting development time by 20%
• Implemented 50+ standard and custom DBT tests to monitor data integrity and ensure continuous data quality across ELT stages
• Documented YAML-based DBT models, improving model transparency and reducing analyst dependencies
• Designed dimensional data models and built analytics-ready data marts using DBT and Snowflake, enabling fast and reliable BI reporting
• Optimized model performance through strategic materializations (incremental, table), reducing query costs and runtimes
• Automated ELT workflows using dbt Core, enabling CI/CD and improving deployment efficiency
• Led code reviews and maintained DBT Docs, ensuring consistency, data discoverability, and faster team onboarding

Jul 2021 – Dec 2021 · 5 mos · Remote

• Designed and implemented the user and admin dashboard panels, ensuring they
• are intuitive and user-friendly
• Created APIs that allow different services to communicate with each other, ensuring smooth data transfer and functionality
• Identified and fixed major bugs in the system, which may include UI issues and functionality issues; troubleshooted and debugged code to identify and resolve the root cause of issues

Jan 2021 – Aug 2021 · 7 mos · Prayagraj, Uttar Pradesh, India · On-site

• * Streamlined collaboration efforts with cross-functional teams to transform design concepts into highly responsive and user-friendly interfaces, enhancing the overall user experience and driving a 20% increase in customer satisfaction and a 10% boost in conversion rates