Siddhartha Varanasi
@siddharthavaranasi
Data engineer and analyst specializing in cloud data platforms, ETL, and AI-ready analytics.
What I'm looking for
I am a data engineer and analyst with 3.5+ years designing and modernizing cloud and on-prem analytics solutions, specializing in Azure, Snowflake, PySpark, and automation to deliver performant, governed data platforms. I have driven measurable outcomes—reducing storage costs by 25%, cutting deployment cycles by 40%, and improving data consistency and query performance across enterprise environments.
I build scalable ETL pipelines, AI-ready datasets, and interactive dashboards while partnering with cross-functional teams in Agile environments to translate business needs into KPI-driven solutions. I am committed to continuous learning in AI-driven data solutions and applying best practices in CI/CD, data governance, and performance tuning.
Experience
Work history, roles, and key accomplishments
Data Engineer
Bright Mind Enrichment and Schooling
Dec 2024 - May 2025 (5 months)
Designed scalable ETL pipelines using PySpark on Azure Databricks to ingest and transform 200K+ daily records into Snowflake, reducing storage costs by 25% and enabling AI-ready datasets for predictive models.
Delivered enterprise ETL solutions using Azure Data Factory, Informatica, and PySpark to integrate Salesforce, DB2, and Oracle into Snowflake, improving data consistency by 35% and cutting end-to-end latency by 35%.
Education
Degrees, certifications, and relevant coursework
University of Cincinnati
Master of Engineering, Computer Science
2023 - 2025
Grade: 4.0 GPA
Master of Engineering in Computer Science completed with a 4.0 GPA, focusing on data engineering and cloud-based analytics.
Availability
Location
Authorized to work in
Job categories
Skills
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