Data Engineer | 2+ Years Experience | Python, SQL, PySpark

I am a passionate and results-driven Data Engineer

I have over 2 years of experience in designing, building, and optimizing scalable data pipelines and cloud-based architectures. My expertise spans across leading cloud platforms such as:

• Google Cloud Platform (BigQuery, Dataflow, Composer)
• Azure (Data Factory, Databricks, Synapse)
• Snowflake

I specialize in end-to-end ETL/ELT development, real-time data ingestion using Kafka and REST APIs, and implementing robust data lakehouse architectures (Bronze, Silver, Gold layers) for analytics and machine learning readiness.

Throughout my career, I’ve developed automation tools and accelerators that have reduced manual effort by up to 70% and improved project delivery timelines by 60%. I’ve also implemented comprehensive data quality frameworks to ensure reliable, consistent, and clean data for downstream use cases. My strong understanding of PySpark, SQL, and Python allows me to execute complex data transformations efficiently and contribute to data science initiatives such as NLP, forecasting, and feature engineering.

I thrive in fast-paced, data-driven environments and am committed to building solutions that enable organizations to make informed decisions, optimize operations, and innovate at scale.