Data Engineer Seeking Data Entry Roles with 4+ Years ELT Experience

Aishwarya Madhav Mujumdar

San Francisco Bay Area, CA 408-***-**** *******@*****.*** https://www.linkedin.com/in/aishwarya-mujumdar/ H4 EAD • No Sponsorship Required • Data Engineer

PROFESSIONAL SUMMARY

Data Engineer with 4 years of hands-on experience in cloud-native platforms and 6 years of overall IT experience. Expert in Snowflake, DBT, and Azure, with a track record of building scalable ELT pipelines, reducing pipeline overhead by 40%, and delivering executive-level insights.

CORE SKILLS

Cloud & Databases: Snowflake (Expert), Databricks, Azure Synapse, Teradata, Oracle, SQL Server Pipelines & Orchestration: DBT (Core/Cloud), Apache Airflow, Azure Data Factory, Snowpipe, CDC Programming: SQL (Advanced – Window Functions, CTEs), Python (Pandas, PySpark), Shell Scripting Modeling & DevOps: Medallion Architecture, Star Schema, SCDs (Type 1/2/4), Git, CI/CD (Azure DevOps), Power BI, Tableau

PROFESSIONAL EXPERIENCE

Infosys Data Engineer Feb 2021 – Feb 2025 Pune, India Client 1: Top Telecom Company, USA - Azure-Based Data Platform Modernization

• Self-learned DBT on-demand to meet project requirements, successfully delivered a working PoC, and subsequently guided junior team members in DBT adoption to achieve project goals as a team.

• Architected end-to-end ELT pipelines using Azure Data Factory, DBT, and Snowflake across 5+ source systems, reducing executive reporting latency by ~30%.

• Optimized Snowflake warehouse configs and DBT incremental models, cutting compute costs by ~20% and improving pipeline run times by 35%.

• Designed Power BI dashboards for senior leadership, distilling large datasets into actionable KPIs and enabling data-driven decisions across business units.

Client 2: Germany-Based Energy Resources Company - Automated Data Pipeline

• Reduced manual pipeline intervention by 40% via Python/Airflow automation with retry logic, alerting, and SLA monitoring across business-critical data feeds.

• Collaborated with 4 cross-functional teams to define data contracts; built Tableau dashboards serving 50+ business users across operations and finance.

• Applied SCD Type 2 modeling in Snowflake for historical tracking; implemented CI/CD via Azure DevOps for automated DBT testing and deployment.

Infineon Technologies Machine Learning Intern Jul 2019 – May 2020 Bangalore, India

• Built ML deduplication engine using NLP and feature engineering across 1M+ records, improving data quality by 25%.

• Processed unstructured data with Python (Pandas, Scikit-learn); presented findings to senior leadership, translating technical results into business insights.

PERSONAL PROJECTS - GITHUB.COM/AISHWARYA0805

• End-to-End ELT Pipeline (DBT + Snowflake + Airflow + Tableau): Medallion Architecture pipeline on AI Workplace Productivity dataset (Kaggle) with Airflow orchestration and Tableau Gold-layer dashboards.

• SQL-to-Snowflake Migration Toolkit (Python): Automated schema translation, data type mapping, and bulk Snowpipe loading for migrating SQL Server objects to Snowflake. EDUCATION

M.S. Computer Science (Big Data Analytics) - VIT University 2020 B.E. Computer Engineering - University of Pune 2016 CERTIFICATIONS

Snowflake SnowPro Core Databricks Data Engineer Associate Databricks SQL Analytics Databricks AI Agent Fundamentals

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