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anudeep Chepuri

@anudeepchepuri

GCP Data Engineer at Cenit Technologies, building Universal Credit data pipelines with BigQuery, Cloud Composer, and Python.

India

Message

At Cenit Technologies, I design, develop, and maintain GCP data pipelines for the Universal Credit project, supporting reporting, analytics, and business intelligence.

I built workflows with Cloud Composer and Apache Airflow to ingest, validate, transform, and load data from relational databases, REST APIs, and CSV files. I also implemented a Bronze, Silver, and Gold Medallion Architecture using Google Cloud Storage and BigQuery.

I optimize BigQuery queries with partitioning and clustering, and develop Python scripts for data transformation and validation. I also monitor and support production pipelines, troubleshoot failures, and implement corrective actions.

Experience

Work history, roles, and key accomplishments

Current

GCP Data Engineer

Current

Cenit Technologies

Aug 2022 - Present (4 years 3 months)

Designed, developed, and maintained end-to-end ETL/ELT data pipelines on Google Cloud Platform (GCP) to support enterprise reporting, analytics, and business intelligence requirements. Implemented Medallion Architecture, optimized BigQuery performance, and provided production support.

GCP BigQuery GCS Cloud Composer Airflow Python SQL Dataflow Pub Sub Dataproc Spark Terraform Git ETL ELT Data Pipelines Data Quality data transformation Partitioning Clustering Query Optimization Agile Scrum

Data Engineering Intern

Cenit Technologies

Aug 2021 - Aug 2022 (1 year)

Developed and supported GCP-based data pipelines using Google Cloud Storage (GCS), BigQuery, SQL, and Python for scalable data ingestion and processing. Implemented data validation, transformation, and reconciliation processes to ensure data quality.