Tanmay Upadhyay

Data Engineer

Burlingame, California, United States2 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Delivered $22M in inventory cost savings.
Engineered data pipelines achieving 5x faster performance.
Improved demand forecasting accuracy by 30%.

Stackforce AI infers this person is a Data Engineer with expertise in Supply Chain and Cloud Computing.

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Skills

Core Skills

Data EngineeringData WarehousingData AnalysisData VisualizationData Science

Other Skills

Wearables AIPostgreSQLKimball MethodologySQLKey MetricsPythonRegression ModelsPower BIAnalytical SkillsData ValidationFraud DetectionSparkAWS GlueAWS RedshiftClassification Models

About

Experience

2 yrs 6 mos

Total Experience

10 mos

Average Tenure

1 yr 2 mos

Current Experience

Northeastern university

Lead Teaching Assistant - IE 6750 Data Warehousing and Integration

Aug 2024 – Dec 2024 · 4 mos · Boston, Massachusetts, United States · Remote

PostgreSQLKimball MethodologyData Warehousing

Revvity

Data Analyst

Aug 2023 – Jan 2024 · 5 mos · Boston, Massachusetts, United States · Hybrid

Delivered $22M in inventory cost savings by analyzing operations data and presenting process improvement strategies to business leaders, reducing excess inventory.
Utilized SQL and Python in Databricks to build data transformations, identifying production bottlenecks and reducing production lead time by 34%, driving $4.8M in deferred costs.
Improved demand forecasting by optimizing regression models in SAP APO, enhancing forecasting accuracy by 30%.
Built dashboards using Power BI for real-time monitoring of supply chain KPIs, improving data accessibility for 8+ global teams.

SQLKey MetricsData Analysis

Subex

2 roles

Data Engineer (Associate Consultant)

Aug 2021 – Aug 2022 · 1 yr · Remote

Uncovered $1.6M in revenue leakage for a Fortune 500 client by conducting data validation, fraud detection, and reconciliation analysis across finance and telecom domains.
Engineered data pipelines using Spark and AWS Glue, achieving 5x faster performance compared to legacy pipelines.
Led migration of 50+ TB data warehouse from on-prem OLAP system to AWS Redshift in an agile environment.
Collaborated with data scientists to develop classification models for fraud detection, reducing false positives by 25%.
Partnered with clients to document data transformation and integration processes for two major risk management projects, accelerating agile sprint cycles.
Developed Tableau dashboards that tracked 40+ key financial metrics across billing systems, telecom and insurance.
Award: Received the 'Game Changer' award for making significant contributions as a new hire.

SQLAnalytical SkillsData Engineering

Data Engineer Intern

Feb 2021 – Aug 2021 · 6 mos · Remote

Analyzed call detail records for 10.2M subscribers, identifying anomalies that uncovered revenue leakage risks.
Developed 15+ ELT pipelines with PySpark and AWS Glue to transform large dataset into structured data models.
Facilitated UAT presentations and aligned code artifacts with business requirements, ensuring project delivery on schedule.

SQLAnalytical SkillsData Analysis