01
Cloud data pipeline
Data Pipeline
Build clear, resilient ingestion and transformation workflows for operational and analytical data.
View projectAvailable for opportunities · 2026
I build dependable
data platforms.
AWSPythonApache SparkSQLDatabricksSnowflake
Focused on reliable, scalable data engineering in the cloud.
Based in HyderabadDATAReliable ingestion, transformation, and delivery
SCALEDistributed processing and cloud platforms
TRUSTQuality checks, observability, and maintainability
Data engineering work
Systems built for data at scale
02
Analytics engineering
Warehouse Model
Shape warehouse and lakehouse models that turn raw data into consistent, trusted analytics.
View project03
Data quality & automation
Reliable Data
Use validation and automation to reduce manual work and make pipeline operations easier to trust.
View projectExperience
How I work with data
From raw events to reliable datasets, I focus on the engineering decisions that keep data products useful over time.
View full resume- Cloud platformsAWS-based storage, compute, orchestration, and deployment patterns.
- Distributed processingApache Spark and PySpark pipelines designed for performance and scale.
- Analytics foundationsDatabricks and Snowflake models built for dependable reporting and analysis.
- Engineering qualitySQL validation, testing, monitoring, documentation, and thoughtful backfills.
A little about me
I turn raw, scattered data into systems people can rely on.
I am a data engineer experienced in AWS, Apache Spark, Python, SQL, Databricks, and Snowflake. I care about building pipelines that are scalable, observable, and designed around the people who use the data.
More on LinkedInCapabilities
Core data stack
- AWS
- Python
- Apache Spark
- SQL
- Databricks
- Snowflake