Hi..,
I'm Varshith Chilagani
Crafting Scalable, Production-Grade Data Pipelines for Actionable Insights
Crafting Scalable, Production-Grade Data Pipelines for Actionable Insights
I view data engineering as the foundation of intelligent decision-making. My passion lies in architecting robust, automated pipelines that transform raw, complex data into clean, reliable, and readily available assets. I am driven by the principles of scalability, efficiency, and production-grade reliability to ensure data delivers its maximum potential value.
I believe in building in cycles: launch, measure, learn, and improve. This ensures robust, error-free pipelines that evolve with business needs.
I am driven by efficiency, constantly seeking to reduce costs and latency while maximizing throughput and reliability in every data process.
I leverage AI tools to automate repetitive tasks, accelerate development cycles, and enhance problem-solving, maximizing efficiency and focusing on high-impact engineering work.
Validating expertise through industry-recognized credentials.
Issued by: Snowflake
Valid: Aug 2025 - Aug 2027
View CredentialsA collection of tools and technologies I work with to build robust data solutions
Showcasing my data engineering projects and solutions.
A new, large-scale data solution is currently in development. Full details will be available soon.
Designed and implemented a production-grade, event-driven data pipeline that automated the ingestion of news data from an API into Snowflake.
Executed a comprehensive SQL-based analysis on a multi-table relational database, deploying it to AWS RDS for cloud accessibility.
My contributions and engagements beyond programming.
Active Participant & Learner
Engaged with professionals at the Hyderabad Snowflake Community Meetup, gaining insights into real-world data platform use cases.
View More
Founder & Moderator
Created and manage a community for aspiring engineers to share knowledge, discuss tech trends, and support each other's growth.
View MoreLet's connect and collaborate