Available to hire
I’m a data engineer and analytics professional with 5 years of experience turning raw data into reliable, actionable insights. I specialize in building scalable data pipelines and analytics platforms that power operations and strategic decisions across supply chain and healthcare.
I’m skilled in Python, SQL, Snowflake, AWS, Airflow, DBT, and Power BI, and I enjoy partnering with cross-functional teams to translate business needs into data-driven solutions that drive measurable value.
Skills
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Language
Afar
Advanced
Work Experience
Data Engineer at LTI Mindtree
June 1, 2024 - November 6, 2025Led design and implementation of AWS-based data pipelines (Glue, Lambda, Airflow) to automate ingestion from 12 data sources, cutting manual refresh effort by 40% and ensuring 99% data-delivery reliability. Engineered Snowflake data-warehouse architecture integrating supplier, order, and logistics data; optimized joins and partitioning to improve query speed by ~30%. Partnered with supply-chain leadership to develop interactive Power BI and QuickSight dashboards monitoring inventory turnover, improving visibility and reducing excess stock by 7%. Collaborated with data scientists to deploy forecasting models for demand planning; model accuracy rose from 81% to 90%. Directed a cross-functional analytics pod (4 members) to modernize KPI tracking and automate ETL, saving ~25% in operational analysis time. Initiated a GenAI proof-of-concept using AWS Bedrock + Comprehend to summarize supplier performance reports, reducing manual review time per report by ~50%.
Data Analyst / Data Engineer – Supply Chain Client at NTT DATA
August 1, 2023 - August 1, 2023Migrated legacy SSIS jobs to Azure Data Factory & Synapse, shortening daily load times from 8 hours to 2 hours and lowering compute costs by ~20%. Developed star-schema models and automated 15 Power BI dashboards used by 200+ stakeholders, increasing adoption and decision-making speed across supply-planning teams. Implemented data-validation and reconciliation scripts using Python + SQL, lowering data discrepancies by 25% quarter-over-quarter. Streamlined KPI automation for warehouse efficiency metrics, contributing to ~10% lead-time improvement and 5% inventory optimization. Collaborated with ML engineers to deliver supplier-segmentation clustering that supported logistics-cost savings of 8%.
Data Analyst – Healthcare Client at NTT DATA
September 1, 2021 - September 1, 2021Designed ETL pipelines via Azure Data Factory & SQL Server integrating EHR, claims, and laboratory feeds (~8M records/day), increasing data availability by ~45%. Created Tableau dashboards to track provider performance and care outcomes, enabling ~12% improvement in care-coordination metrics. Automated QA testing framework in Python for HIPAA-compliant reporting, saving ~25 hours/month of manual validation. Built predictive readmission-risk model (Logistic Regression & Random Forest, AUC 0.81) that identified high-risk patients and cut readmissions by ~8%.
Data Engineer – Supply Chain Client at LTI Mindtree
June 1, 2024 - November 6, 2025Led design and implementation of AWS-based data pipelines (Glue, Lambda, Airflow) to automate ingestion from 12 data sources, reducing manual refresh effort by 40% and achieving 99% data-delivery reliability. Engineered a Snowflake data-warehouse architecture integrating supplier, order, and logistics data, with optimized joins and partitioning improving query speed by ~30%. Partnered with supply-chain leadership to develop interactive Power BI and QuickSight dashboards monitoring inventory turnover, strengthening visibility and reducing excess stock by ~7%. Collaborated with data scientists and business stakeholders to deploy forecasting models increasing forecast accuracy to ~90%. Directed a small analytics pod to modernize KPI tracking and automate ETL, saving ~25% in operational analysis time. Initiated a GenAI proof-of-concept using AWS Bedrock + Comprehend to summarize supplier performance reports, reducing manual review time by ~50%.
Data Engineer – Supply Chain at LTI Mindtree
June 1, 2024 - November 6, 2025Led design and implementation of AWS-based data pipelines (Glue, Lambda, Airflow) to automate ingestion from 12 data sources, cutting manual refresh effort by 40% and ensuring 99% data-delivery reliability. Engineered Snowflake warehouse architecture integrating supplier, order, and logistics data; optimized joins and partitioning to improve query speed by ~30%. Partnered with supply-chain leadership to develop interactive Power BI and QuickSight dashboards monitoring inventory turnover, improving visibility and reducing excess stock by ~7%. Worked with data scientists to deploy forecasting models; model accuracy rose from 81% to 90%.
Data Engineer – Supply Chain at NTT DATA
August 1, 2023 - August 1, 2023Migrated legacy SSIS jobs to Azure Data Factory & Synapse, shortening daily load times from 8h to 2h and lowering compute costs by ~20%. Developed star-schema models; automated 15 Power BI dashboards used by 200+ stakeholders. Implemented data-validation scripts using Python + SQL; lowered data discrepancies by 25% QoQ. Streamlined KPI automation for warehouse metrics, contributing to ~10% lead-time improvement and 5% inventory optimization. Collaborated with ML engineers to deliver supplier-segmentation clustering enabling logistics-cost savings of 8%.
Data Analyst / Data Engineer – Supply Chain at NTT DATA
September 1, 2021 - September 1, 2021Designed ETL pipelines via ADF & SQL Server, integrating data from multiple sources; increased data availability by ~45%. Built star-schema data models and automated dashboards for decision-making. Implemented QA testing framework in Python for HIPAA-compliant reporting, saving ~25 hours/month. Built forecasting and KPI automation for warehouse metrics; contributed to lead-time and inventory improvements; collaborated with ML to support logistics-cost savings.
Data Analyst – Healthcare at NTT DATA
September 1, 2021 - September 1, 2021Designed ETL pipelines via ADF & SQL Server for EHR, claims, and lab feeds (~8M records/day), increasing data availability by ~45%. Created Tableau dashboards to track provider performance and care outcomes, enabling ~12% improvement in care-coordination metrics. Automated QA testing framework in Python for HIPAA-compliant reporting, saving ~25 hours/month. Built predictive readmission-risk model (Logistic Regression & Random Forest, AUC 0.81) that identified high-risk patients and cut readmissions by ~8%.
Education
Master of Science in Business Analytics – Big Data at University of Massachusetts, Boston
September 1, 2023 - May 1, 2025Bachelor of Engineering in Information Science at Atria Institute of Technology, India
August 1, 2016 - August 1, 2020Master of Science in Business Analytics – Big Data at University of Massachusetts, Boston
September 1, 2023 - May 1, 2025Bachelor of Engineering in Information Science at Atria Institute of Technology, India
August 1, 2016 - August 1, 2020Master of Science in Business Analytics – Big Data at University of Massachusetts, Boston
September 1, 2023 - May 1, 2025Bachelor of Engineering in Information Science at Atria Institute of Technology, India
August 1, 2016 - August 1, 2020Qualifications
AWS Solutions Architect – Associate
January 11, 2030 - November 6, 2025Microsoft Certified: Azure Data Engineer Associate
January 1, 2023 - November 6, 2025Tableau Desktop Specialist
January 1, 2022 - November 6, 2025AWS Solution Architect Associate
January 11, 2030 - November 6, 2025Microsoft Certified: Azure Data Engineer Associate
January 1, 2023 - November 6, 2025Tableau Desktop Specialist
January 1, 2022 - November 6, 2025AWS Solutions Architect Associate
January 11, 2030 - November 6, 2025Microsoft Certified: Azure Data Engineer Associate
January 1, 2023 - November 6, 2025Tableau Desktop Specialist
January 1, 2022 - November 6, 2025Industry Experience
Healthcare, Transportation & Logistics, Software & Internet, Professional Services, Retail, Manufacturing
Skills
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