Looking for a job

shrutee shree

@shruteeshree

Message

Data engineer specializing in scalable data platforms, analytics, and GenAI-enabled data products.

India

Message

What I'm looking for

I seek a hands-on data engineering role building scalable, testable data platforms and GenAI-enabled analytics, collaborating with product and analytics teams for impact.

I am a data engineer with eight years of experience designing and building scalable data solutions, resilient workflows, and insight-led products that enable smarter decisions. I work hands-on with SQL and Python and have practical expertise across GCP, AWS, and Microsoft Azure.

I've architected metadata-driven pipelines, Snowflake dimensional models, and cross-system KPI integrations, and I built GenAI-powered Streamlit apps to accelerate insight delivery. My engineering practice emphasizes modular, idempotent ETL design, data quality management, testing, and observability.

I deliver high-throughput PySpark pipelines, reusable ETL libraries, and cost-optimized BigQuery models while collaborating closely with analysts and data scientists to translate business needs into reliable, production-ready data products.

Experience

Work history, roles, and key accomplishments

Data Engineer L4

Elevate K-12

Aug 2023 - Aug 2025 (2 years)

Designed metadata-driven ADF pipelines and Snowflake dimensional models to automate ingestion and improve data availability across teams; integrated Snowflake with Planhat to provide unified health metrics for 20+ CSMs and built GenAI Streamlit apps to accelerate insight delivery.

ADFS Snowflake Python Streamlit ETL Dimensional Models Data Integration

Data Engineer II

Noon Academy

Nov 2022 - Apr 2023 (5 months)

Migrated legacy datasets and built AWS-based analytical models and automated ingestion/transformation pipelines to support product usage and engagement analytics across multiple countries.

AWS Pyspark Data Modeling ETL Data Migration Automation Multinational Analytics

Data Engineer II

Nineleaps

Dec 2020 - Nov 2022 (1 year 11 months)

Built incremental PySpark pipelines orchestrated with Airflow to transform GCP storage into curated BigQuery reporting layers and engineered reusable OOP ETL libraries to improve maintainability.

GCP BigQuery Pyspark Apache Airflow OOP Data Modeling ETL

Data Engineer

Mu Sigma

Sep 2017 - Nov 2020 (3 years 2 months)

Built high-throughput PySpark ETL pipelines processing 1.2B+ records/day, developed a PySpark DQM framework for schema drift and audit summaries, and delivered BI/data engineering solutions that uncovered AU$4.5M in unclaimed revenue.