Giridhar Reddy Tatiparthi

I am a Data Engineer with hands-on experience in building and supporting scalable data pipelines in hybrid cloud environments. I have worked in the Fintech domain at Walmart, where I was part of both the Finance Data Lakehouse (FDLH) and Finance Connected Platform (FCP) teams. My work involved processing large volumes of daily store and eCommerce transaction data used for financial reporting and reconciliation.

On the GCP side, I worked with SAS upstream systems that pushed data into Google Cloud Storage. We used Automic as the enterprise orchestration tool to manage workflows and trigger Spark jobs on Dataproc clusters. I contributed to ETL development, partition-based incremental processing, and storing optimized Parquet datasets for downstream consumption.

I am particularly interested in real-time data processing, scalable ETL design, and cloud-native data architectures. I continuously work on strengthening my skills in Azure, Databricks, streaming technologies, and modern lakehouse architecture.

My long-term goal is to grow into a senior data engineering role where I can design end-to-end data platforms, optimize performance, and contribute to building reliable, production-grade data systems that drive business decision-making.