Hyderabad, Telangana, India
Senior Data Engineer with 10+ years of experience designing and delivering scalable data platforms, cloud migrations, and analytics solutions across enterprise environments. Specializing in Snowflake, DBT Cloud, Matillion, and Informatica PowerCenter — with deep expertise across the full data engineering stack including pipeline design, data modeling, ETL/ELT development, and data lake architecture. Currently at Yext, architecting the data lake infrastructure, building data marts, and leading the Customer 360 initiative. Previously at Innova Solutions, delivered enterprise-scale ETL/ELT pipelines and cloud migrations for a leading US-based travel company across an 8-year engagement. Certified in Microsoft Azure (DP-900), AWS Cloud Practitioner, Python PCEP 30-02, and Snowflake Essentials. Core Skills: Snowflake · DBT Cloud · Matillion · Informatica PowerCenter · SQL · Azure · AWS · Tableau · Data Modeling · ETL/ELT · Data Lake Architecture
Architected and implemented a scalable, maintainable data lake platform from inception, establishing robust data engineering standards across the organization. Designed and developed optimized data marts to enhance business reporting, analytics, and strategic decision-making capabilities. Led the Customer 360 initiative by consolidating customer data from multiple systems, creating a unified, comprehensive customer profile that improved customer insights by 35%. Defined, standardized, and enforced data engineering processes to ensure consistency and alignment between engineering and analytics teams, improving operational efficiency. Built and maintained efficient data pipelines leveraging Matillion, Snowflake, and SQL, ensuring reliable data ingestion and transformation. Developed and delivered interactive analytics solutions and dashboards using Tableau, enabling data-driven decisions and increasing user engagement by 60%. Directed a proof-of-concept evaluation of self-service BI platforms, including Omni Analytics, to identify scalable alternatives to Tableau, contributing to informed technology strategy decisions. Awarded First Prize at the company Hackathon for pioneering the Customer Health Scoreboard concept, recognized for innovative impact and driving measurable business value. Established foundational data architecture and engineering best practices, fostering cross-functional collaboration and accelerating data platform maturity by 60%.
Progressed through key engineering roles: Software Engineer G2 (2017), G3 (2018), Senior Software Engineer L4A (2020), L4B (2021), Software Engineer L5A (2023), culminating in Principal Engineer. Spearheaded the migration of legacy data warehouse platforms to Snowflake and DBT Cloud, enhancing scalability, query performance, and reducing operational costs. Designed and optimized robust ETL/ELT pipelines utilizing Informatica PowerCenter, SQL, Snowflake, and DBT to ensure efficient data processing. Developed high-performance data models and implemented advanced query optimization techniques, including data partitioning and incremental loading, boosting system responsiveness. Directed end-to-end delivery of data engineering projects, ensuring timely execution while mentoring and upskilling junior engineers. Established and enforced best practices, reusable frameworks, and development standards to increase team productivity and maintain code quality. Collaborated cross-functionally with business stakeholders, analytics teams, and cloud architects to deliver scalable and reliable data solutions aligned with organizational goals. Led offshore delivery team for a large-scale migration from on-premises data warehouses to Snowflake and DBT Cloud, achieving seamless transition with minimal downtime. Reduced data storage costs by approximately 40% and enhanced query performance by 70% through cloud modernization and strategic data model optimization. Increased ETL processing efficiency by 20% by refining Informatica workflows and modernizing legacy data integration processes.
Spearheaded development and enhancement of the DLAQM (Data Layer Analytics & Quality Management) project for AT&T, advancing enterprise-wide data integration and quality management initiatives. Engineered and optimized ETL workflows utilizing Informatica PowerCenter, SQL, UNIX, and Oracle, improving data processing efficiency by an estimated 20%. Collaborated effectively with onsite cross-functional teams to conduct requirements analysis, development, testing, and production support, ensuring alignment with business objectives and timely project delivery. Designed and implemented rigorous data validation and quality assurance checks, enhancing data accuracy, consistency, and compliance with corporate standards by 15%. Authored comprehensive documentation on data flows, ETL processes, and audit procedures, creating a centralized knowledge repository that expedited audit readiness and reduced support turnaround time by approximately 25%. Delivered consistent production support for multiple applications, ensuring high system availability and addressing issues promptly to minimize downtime. Championed innovative solutions through participation in the AT&T Idea Campaign, contributing to process enhancements and operational improvements acknowledged by leadership. Achieved internal Oracle certification, demonstrating commitment to technical mastery and earning client accolades for technical excellence and proactive learning. Developed and maintained a reusable audit and data quality documentation framework, significantly improving operational efficiency and audit preparedness across teams.