Available to hire
Experienced Data/Platform Engineer with a strong background in designing, implementing,
and maintaining scalable data pipelines and platform solutions.
• Industry exposure across Banking and Manufacturing, delivering data-driven solutions in
complex enterprise environments.
• Skilled in Airflow, Jenkins, Terraform, Python, AWS, GCP, and other modern data
engineering tools and technologies.
• Proven ability to deliver end-to-end data solutions and provide robust platform support for
large-scale, mission-critical projects
Experience Level
Work Experience
Data /Platform Engineer at NAB
February 1, 2023 - PresentLed end-to-end upgrade of platform data pipelines, including infrastructure provisioning, automated testing and production deployment using Jenkins. Provided platform support for Snowflake and Redshift, including query optimisation and workload queue management. Played a key role in disaster recovery activities, ensuring seamless migration of RDS, EMR and Redshift components across Availability Zones. Managed incident handling across non-prod and prod environments, ensuring minimal disruption to development and business operations. Designed and implemented a CI/CD pipeline for dynamic password rotation, transitioning secure credential management from CyberArk to HashiCorp Vault. Contributed to BDM decommissioning by converting legacy BDM jobs into AUCUMO-based workflows for the curation layer, and performed validation on parquet files using Spark commands. Upgraded outbound SFTP EC2 servers to Graviton architecture running RHEL 7, improving performance and reducing operational overhead
Data /Platform Engineer at HCL
June 1, 2022 - February 1, 2023Implemented RBAC solutions by provisioning Google Groups, memberships and IAM bindings using Terraform, ensuring secure and scalable access management. Developed Cloud Build jobs and automation scripts to streamline deployment workflows and reduce manual intervention across environments. Ensured secure and compliant dataset access for data scientists by defining Terraform-based IAM policies and dataset-level permissions. Collaborated closely with release and deployment teams to support smooth production releases, standard changes and environment readiness. Built Python-based JSON validation utilities for RBAC automation, ensuring schema accuracy, data integrity and error-free configuration deployment.
Data Analyst / Engineer at Renaissance Infosystems
June 1, 2021 - March 1, 2022Delivered end-to-end implementation of multiple data pipelines, including solution design, development, infrastructure provisioning, scheduling, documentation, testing and production support. Analysed sample source files to identify restricted data elements and validate discrepancies against interface agreement documents. Provisioned GCP infrastructure using Terraform (buckets, Pub/Sub, service accounts, IAM roles) and deployed changes through Harness. Designed pipelines to ingest both batch and streaming data into GCP BigQuery tables. Created Control-M jobs to schedule on-prem ingestion workflows for loading files into GCP Cloud Storage buckets. Collaborated with platform engineering and release management teams to support smooth production releases and environment readiness.
Lead Data Modeler at Ford Motor Private Limited
April 1, 2016 - April 1, 2018Studied in-house requirements for the data warehouse to be developed using Teradata. Analyzed database requirements with stakeholders and conducted JRD sessions. Created dimensional models for reporting systems and defined naming standards for the data warehouse (Star and Snowflake). Generated ad-hoc SQL queries to retrieve data from legacy DB2 and SQL Server systems. Facilitated testing procedures, prepared test cases, and supported UAT. Conducted design walkthrough sessions with the Business Intelligence team to ensure reporting requirements were met. Created data models and JSON files for POC initiatives and designed landing-zone tables for Hadoop-based ingestion.
Senior Data Modeller at Ford Motor Private Limited
April 1, 2013 - April 1, 2016Prepared exhaustive documentation for the technical phase of the project and developed training materials for data management functions. Developed data mapping, data governance, transformation, and cleansing rules for the Master Data Management (MDM) architecture across OLTP, ODS, and OLAP layers. Collaborated with ETL, BI and DBA teams to analyze and resolve data issues during OLAP model implementation. Developed and maintained the data dictionary to support metadata reporting for technical and business users. Prepared analytical and status reports, tracked identified issues, and monitored action items to ensure timely resolution.
Data Modeller at Ford Motor Private Limited
December 1, 2010 - April 1, 2013Worked at conceptual, logical, and physical data model levels using Oracle Designer for OLTP system requirements. Enforced referential integrity in OLTP models and applied forward-engineering techniques to design and create databases for OLAP systems. Developed Liquibase scripts for Derby and H2 databases and maintained database environments across DEV, QA, and PROD.
Education
Master of Computer Application at Institute of Road and Transport Technology
January 11, 2030 - January 8, 2026Qualifications
Industry Experience
Financial Services, Manufacturing, Software & Internet, Professional Services
Experience Level
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