Data Engineer — 3+ years
Building scalable data platforms for analytics + cloud.
I build reliable ETL/ELT pipelines, optimize Snowflake performance, and design clean data models for reporting and decision-making. I also support cloud data architecture across AWS and Azure with observability, automation, and CI/CD-ready workflows.
Snowflake Warehousing
SQL + Python Engineering
Spark Processing
dbt + Airflow Modern Stack
Cloud AWS • Azure
Sai Jahnavi Kolli
Data Pipeline
Ingest → Transform → Validate → Curate → Serve
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Skills
Core Data Engineering
Snowflake
Advanced SQL
Python
Apache Spark
ETL/ELT Pipelines
Dimensional Modeling
Data Warehousing
Modern Data Stack
dbt
Apache Airflow
Data Quality Testing
Data Validation
Data Observability
CI/CD for Data
Cloud & Platforms
AWS (S3, EC2)
Azure
Azure Data Factory
GCP (Basics)
BigQuery
Databases
PostgreSQL
MySQL
Analytics & BI
Power BI
Tableau
KPI Dashboards
Delivery
Agile / Scrum
Stakeholder Collaboration
Projects
Automotive Loan Risk Analytics Platform
Snowflake ELT pipelines + curated datasets for portfolio performance and risk reporting.
Built an analytics-ready warehouse layer in Snowflake with clean dimensional modeling, standardized transformations, and automated validation to support risk KPIs and BI dashboards.
Manufacturing Operations Performance Analytics
Integrated production + quality + supply chain data to power KPI dashboards and ops decisions.
Unified multiple sources into a consistent analytics layer, improved data reliability with profiling/validation, and enabled KPI-based operational reporting for leadership.
Pipeline Reliability & Performance Optimization
Tuning, validation frameworks, and monitoring to strengthen data trust.
Reduced processing time through query/Spark optimization, standardized reconciliation and error handling, and strengthened observability for production stability.
Experience
GM Financial — Data Engineer
2025 – Present- Designed and maintained scalable ETL/ELT pipelines using SQL, Python, and Spark to process high-volume financial datasets in Snowflake data warehouse environments.
- Developed cloud-based data architectures supporting analytics workloads across AWS and Azure services, ensuring secure and efficient data movement.
- Built dimensional data models and optimized Snowflake storage and compute performance for reporting and business intelligence applications.
- Implemented automated data quality validation, monitoring, and error-handling mechanisms to improve reliability and observability of production pipelines.
- Collaborated with DevOps and cloud teams to support CI/CD deployments, environment configuration, and infrastructure optimization in Agile environments.
Reliance Industries — Data Engineer
2022 – 2024- Engineered end-to-end data pipelines integrating operational and supply chain datasets using Python, advanced SQL, and cloud-based processing frameworks.
- Designed and maintained scalable data warehouse solutions enabling KPI dashboards and enterprise analytics reporting.
- Optimized distributed data processing workflows to improve performance, scalability, and resource utilization.
- Implemented data validation, transformation, and governance standards to ensure data consistency across cloud environments.
- Worked closely with cross-functional teams to translate business requirements into secure, scalable cloud data solutions.
Contact
Send me a message
availableLinks
connectEmail: jahnavikolli09@gmail.com
LinkedIn: linkedin.com/in/kolli-sai-jahnavi
GitHub: github.com/Kolli-Jahnavi-07
Medium: medium.com/@kollijahnavi07