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I'm a results-driven Data and Business Intelligence Engineer with 4+ years of experience designing scalable ETL pipelines and cloud-based analytics solutions. I specialize in building real-time dashboards (Power BI, Tableau, QuickSight) and automating data workflows using Python, SQL, AWS, Apache Spark, and Airflow to enable executive reporting and operational insights.\n\nMy background includes supply chain analytics, data modeling, and process automation that drive efficiency and informed decision-making across cross-functional teams.…I'm a results-driven Data and Business Intelligence Engineer with 4+ years of experience designing scalable ETL pipelines and cloud-based analytics solutions. I specialize in building real-time dashboards (Power BI, Tableau, QuickSight) and automating data workflows using Python, SQL, AWS, Apache Spark, and Airflow to enable executive reporting and operational insights.\n\nMy background includes supply chain analytics, data modeling, and process automation that drive efficiency and informed decision-making across cross-functional teams.

Niteesh Reddy Vanampally

Data Scientist, Data Analyst, Web Developer, +2

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I'm a results-driven Data and Business Intelligence Engineer with 4+ years of experience designing scalable ETL pipelines and cloud-based analytics solutions. I specialize in building real-time dashboards (Power BI, Tableau, QuickSight) and automating data workflows using Python, SQL, AWS, Apache Spark, and Airflow to enable executive reporting and operational insights.\n\nMy background includes supply chain analytics, data modeling, and process automation that drive efficiency and informed decision-making across cross-functional teams.…I'm a results-driven Data and Business Intelligence Engineer with 4+ years of experience designing scalable ETL pipelines and cloud-based analytics solutions. I specialize in building real-time dashboards (Power BI, Tableau, QuickSight) and automating data workflows using Python, SQL, AWS, Apache Spark, and Airflow to enable executive reporting and operational insights.\n\nMy background includes supply chain analytics, data modeling, and process automation that drive efficiency and informed decision-making across cross-functional teams.

Available to hire

I’m a results-driven Data and Business Intelligence Engineer with 4+ years of experience designing scalable ETL pipelines and cloud-based analytics solutions. I specialize in building real-time dashboards (Power BI, Tableau, QuickSight) and automating data workflows using Python, SQL, AWS, Apache Spark, and Airflow to enable executive reporting and operational insights.\n\nMy background includes supply chain analytics, data modeling, and process automation that drive efficiency and informed decision-making across cross-functional teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

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Intermediate

Work Experience

Business Intelligence Engineer at PetSmart Inc.

May 1, 2023 - November 4, 2025

Led the development of a predictive analytics solution using Python, SQL, and Redshift to optimize inventory across 100,000+ SKUs and multiple warehouses, reducing stockouts by 15% and cutting inventory costs by 10%. Enabled cross-functional teams to leverage insights for demand forecasting and supply chain efficiency. Developed 10 self-service dashboards and automated anomaly detection audits in QuickSight and Power BI, proactively identifying inventory stockout trends and reducing fulfillment defects by 15%. Automated scalable processes with AWS (EC2, S3, RDS) to optimize transportation routes, improving operational efficiency by 15% and reducing delivery bottlenecks for high-demand regions. Leveraged clustering algorithms and regression analysis to analyze customer purchasing behavior, creating targeted marketing strategies that boosted retention by 12% in the first quarter. Partnered with cross-functional teams to define and track KPIs and develop data-driven strategies that improv

Business Intelligence Analyst at Mindtree Ltd.

August 1, 2022 - August 1, 2022

Architected data models for e-commerce platforms, enabling real-time analysis of customer delivery metrics using SQL, improving predictability of supply chain operations by 12%. Created 15 interactive Tableau and Power BI dashboards to track customer satisfaction KPIs (NPS, order accuracy), driving SLA adherence improvements. Facilitated stakeholder workshops to communicate operational trends via statistical methods (t-tests, Chi-squared) and proposed strategies that reduced costs by 10%. Built SQL & Python-based audit pipelines to detect data anomalies, reducing processing errors by 18% and enhancing data governance. Established A/B testing frameworks to assess promotional campaigns, contributing to a 20% increase in sales. Implemented R-based analytics to forecast inventory needs, reducing overstock by 10%.