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Data Engineer with 6+ years in GCP & BigQuery
Senior Data Engineer with 6+ years of experience in data and analytics, including over 4+ years of experience in data engineering with hands-on experience in Google Cloud Platform (GCP). Experienced in designing and delivering end-to-end data solutions, from requirement gathering and architecture design to implementation and validation of scalable data pipelines. Expertise in selecting and leveraging GCP services such as BigQuery, Cloud Composer (Apache Airflow), Google Cloud Storage (GCS), and Workflows to build cost-efficient, high-performance data platforms. Strong in SQL, data modeling, and query optimization, delivering reliable and analytics-ready datasets. Proven ability to collaborate with cross-functional stakeholders, guide implementation of data solutions, and ensure data quality and performance for business-critical reporting and decision-making.
Saranathan College of Engineering
B.E. · Mechanical Engineering
August 1, 2014 – June 30, 2018
Accenture Applied Intelligence
Senior Analyst
May 1, 2022 – Present
India
Bridgei2i Analytics (Acquired by Accenture)
Data Engineer -I
January 1, 2022 – April 1, 2022
India
Tata Consultancy Services
Assistant Systems Engineer
January 1, 2020 – January 1, 2022
India
Cultural Fit Analysis
The candidate has worked across multiple major cloud platforms (GCP, AWS, Azure) and various data tools (BigQuery, Snowflake, Redshift, Talend, Dataiku DSS), indicating adaptability and a broad technical curiosity. Experience in diverse projects like financial analytics, marine supply chain, NBFC data, and telecom data platforms suggests a willingness to tackle different business domains. The progression from Assistant Systems Engineer to Senior Analyst in data engineering roles shows a clear career path and commitment to the field, aligning with a growth-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights engagement with stakeholders for requirements gathering, defining KPIs, and designing end-to-end data architecture, indicating strong communication and collaboration skills. Experience in production support and troubleshooting suggests reliability and problem-solving abilities. The focus on ensuring data quality and performance for business-critical reporting demonstrates a results-oriented approach.