Jan 2025 – Aug 2025 · 7 mos · Mumbai, Maharashtra, India

• Designed and implemented observability features using GitLab data for teams engineering efficiency, establishing DORA metrics for engineering KPIs using Gitlab REST API's Python and Airflow
• Built a POC for SKU recommendation system using product descriptions, Snowflake Cortex and product metadata to accelerate product matching and drive personalisation
• Developed and integrated data quality DAGs using Apache Airflow and dbt's built-in testing framework and test expectations library into production pipelines for early anomaly detection and automated alerting
• Led cross-functional training sessions to upskill analytics and business teams on snowflake and Looker, increasing adoption and reducing dependency on our analytics team by 70%
• Contributed to internal platform documentation and tooling guides to promote knowledge sharing, streamline onboarding, and standardize best practices across teams

Jan 2023 – Dec 2024 · 1 yr 11 mos · Mumbai, Maharashtra, India

• Designed and managed cloud-native, scalable data pipelines using dbt, Snowflake, and Apache Airflow, achieving 99.9% data accuracy while reducing data operations costs by 60% through workflow optimization and compute clustering
• Improved pipeline execution time by 300% via data pipeline automation, task parallelization, and resource orchestration, significantly reducing engineering load and runtime costs
• Created and optimized 50+ BI dashboards in Looker using LookML, introducing dynamic filters and modular design — which cut dashboard duplication by 50% and improved report load times by 20%
• Developed a centralized metadata-driven data product with built-in quality checks and lineage tracking, improving data discoverability and platform efficiency by 30%
• Engineered real-time data APIs using AWS Lambda, API Gateway, and Snowflake, enabling integration with customer-facing tools and supporting seamless data access
• Built a machine learning-based quote recommender system using Python and Scikit-Learn, helping reduce user decision time by 15% and enhancing personalisation
• Automated error tracking and alerting via AWS Lambda + New Relic API integration, eliminating 100% of monthly manual checks and reducing issue triage time by 30%
• Contributed to an overall 15–20% infrastructure cost reduction across pipelines by optimising warehouse sizing, workload scheduling, and improving developer documentation

Sep 2020 – Jan 2023 · 2 yrs 4 mos · Mumbai, Maharashtra, India · Remote

• Built a planner tool from scratch using QlikSense, reducing the overall planning turnaround time from 15 days to a single day.
• Created BI dashboards in QlikSense using data stored in various data stores, including Azure SQL DB, Oracle, and Azure Synapse Analytics.
• Drove technical improvements by merging different data layer scripts, resulting in time savings and increased data accuracy.
• Created a pipeline to pull data from different marketplaces using Azure Databricks and third-party Python APIs, storing it in various Azure storage solutions like Blob and Delta Lake, and creating tables on top of it in Azure Synapse Analytics.
• Developed a data migration template in Azure Databricks using PySpark to read data stored on the server and write it back to Azure Delta Lake Storage.
• Participated in continuous improvement by generating suggestions and engaging in problem-solving activities to support teamwork.

Jun 2019 – Jul 2019 · 1 mo · Mumbai Metropolitan Region

• Learned Flask Stack: Acquired foundational knowledge of the Flask framework.
• Developed REST APIs: Built basic RESTful APIs using Flask, enabling data exchange between applications.
• Tested APIs: Utilized Postman to test and validate API functionality.