Result-oriented and insightful developer with around 7 years of extensive expertise in Python, GCP, AWS, and Consulting
hyderabad, India
#OpenToWorkResult-oriented and insightful developer with around 7 years of extensive expertise in Python, GCP, AWS, and Consulting with willingness and passion to master in Data Engineering & Analytics. To have a good professional career in Data field and contribute the same for organizational growth.
I am looking for a Senior / Lead Data Engineer role where I can architect and build scalable, cloud-native data platforms from scratch. My core strengths lie in designing metadata-driven architectures, real-time CDC (Change Data Capture) pipelines, and large-scale data migrations across GCP and AWS. I thrive in environments where I can take complete ownership of data infrastructure—transforming complex, siloed source systems into high-throughput, low-latency data ecosystems that directly enable
Capgemini
Architect and maintain scalable, cloud-native data platforms, ETL/ELT pipelines, and data migration solutions across GCP and AWS. Manage and optimize large-scale production environments overseeing 1,000+ active data pipelines. Design robust, metadata-driven ingestion frameworks and implement automated data quality and governance workflows.
PwC Acceleration Center
Designed and implemented enterprise data infrastructure and backend pipelines supporting generative AI agents using Google Agent Space and Data Stores. Engineered Python-based workflows and optimized cloud data repositories for rapid semantic search and data retrieval.
Bilvantis Technologies
Architected and implemented scalable batch and real-time ETL pipelines on GCP using Python, Apache Beam, and Cloud Dataflow, streamlining delinquent account data collection and eliminating manual paper-flow dependencies. Integrated Pub/Sub, BigQuery, and Cloud Storage to power event-driven recovery workflows and handle automated interfaces with Accounts Receivable (AR) and dialer systems. Optimized pipeline performance and reduced data latency, enabling the collection department to accurately forecast volumes and prioritize high-risk/delinquent accounts. Automated CI/CD deployment cycles using Jenkins and implemented robust unit testing suites to guarantee pipeline reliability and financial data accuracy. Collaborated with cross-functional architecture and infrastructure teams to design scalable data models, debug production issues, and maintain comprehensive technical documentation.
Legato Health Technologies LLP
Writing scripts in python to automate the data flow from AWS-S3 to snowflake. Developing generic frame works for Data Migrations from S3 to Snowflake, deploying AWS-LAMBDA, AWS-GLUE, and testing.
ITCRATS INFO SOLUTIONS
Project Highlights Binary to ASCII Mainframe Data Conversion (Client: Globe Life Insurance) Engineered and deployed custom Python scripts on AWS to parse, validate, and convert complex legacy mainframe data files (COBOL, Assembler, Easytrieve) into standard ASCII formats. Performed deep data auditing against mainframe copybooks to identify and resolve schema discrepancies, ensuring 100% data fidelity. Executed end-to-end unit and user acceptance testing (UAT) across local and cloud staging environments to guarantee ingestion accuracy. Authored technical design specifications and business requirement documentation while collaborating closely with client stakeholders. HR Recruitment Portal (Internal Project) Led a 3-member development team to architect, build, and deploy an internal recruitment portal using Python, Django, MySQL, and AWS. Partnered directly with HR stakeholders to gather business requirements, define data models, and implement core applicant-tracking workflows. Managed project milestones, conducted regular code reviews, and ensured adherence to production delivery timelines.
Bachelor of Engineering · Electronics and Communications
GCP
AcadGlid
