Krupesh G Nag

Seasoned Data Platform Engineer with a solid foundation of over ten years in the field, having proven track record in designing, implementing, and optimizing data infrastructure solutions. Proficient in extensive array of data platform technologies, cloud services, and data management instruments, enabling operational efficiency through automation, monitoring, and continuous improvement practices.

• Achieved the prestigious 2022 Golden Award for excellence in GIS Data Integration Re-platform & Upgrade, successfully constructing multiple environments from inception.
• Honored with back-to-back Titan Awards (2021-2023) for consistent delivery excellence.
• Recognized as a Star Performer for three consecutive quarters in 2021-2022, demonstrating outstanding performance.

SAFe 5 Agilist

• Lead and manage a team of IT infrastructure professionals, including technicians, engineers, and administrators.
• Foster a collaborative and productive work environment, encouraging skill development and knowledge sharing.
• Experience with various Data Integration/ETL/ELT & Data Streaming tools and frameworks that enable capabilities within the data ecosystem (Hadoop, Kafka, NIFI, DataStage, Talend, AWS glue)
• Design, review, and enhance IT infrastructure architecture, including Hybrid cloud Infrastructure, servers, storage systems, and backup environments.
• Develop, automate, optimize, and fine-tune data platform provisioning, scaling, and maintenance tasks to improve operational efficiency, performance, scalability, and cost-effectiveness.
• Lead data pipeline design, development, and optimization, drawing on your expertise in data integration, ETL/ELT, modern tools, and AWS Cloud, to ensure efficient data processing and cutting-edge solutions.
• Implement data monitoring and alerting solutions while collaborating with DevOps teams to proactively identify and address data issues.
• Ensure data security, compliance, and governance standards are met throughout the data platform, adhering to global data engineering standards and principles.
• Establish and enforce global data engineering standards, ensuring strict adherence to data architecture, platform, quality, and governance principles.
• Act as a mentor and leader, providing guidance and mentorship to junior data engineers, fostering a collaborative and growth-oriented team culture.
• Engage actively with the data engineering community, sharing insights, best practices, and innovative ideas to contribute to the growth of the industry.
• Document data infrastructure design, configuration, and processes for reference and training purposes.

• Spearheaded a team of IT infrastructure experts, achieving a 20% rise in engagement and a 15% increase in project delivery efficiency through strategic workshops and training.
• Proficient in Data Integration/ETL/ELT & Data Streaming tools, including IBM DataStage, Confluent Kafka, Apache Nifi, Talend, and AWS Glue, enhancing data ecosystem capabilities.
• Enhanced IT infrastructure by integrating hybrid cloud solutions, boosting data processing speeds by 30%.
• Streamlined data platform operations through automation, resulting in heightened efficiency, scalability, and cost savings.
• Expert in data pipeline architecture, employing AWS Cloud and modern integration tools to deliver superior data processing solutions.
• Partnered with DevOps to implement proactive data monitoring and alerting, ensuring timely resolution of data issues.
• Upheld stringent data security and compliance measures across the data platform, aligning with international engineering standards.
• Set and maintained global data engineering benchmarks, promoting consistent adherence to architectural and governance protocols.
• Mentored junior data engineers, nurturing a team environment conducive to professional development.
• Actively shared knowledge and best practices within the data engineering community.
• Documented data infrastructure configurations and procedures, creating a comprehensive training and reference manual.