Oct 2022 – Nov 2025 · 3 yrs 1 mo · India

• I joined NasCompany during a pivotal transition, as we evolved from NasAcademy to launching the community-focused Nas.Io platform. Being the only data engineer on the team, I took on the challenge of building our data warehouse in BigQuery from the ground up, creating the foundation for data-driven decision-making across the company. 📊
• Here are some key highlights from this journey:
• 𝐃𝐚𝐭𝐚-𝐃𝐫𝐢𝐯𝐞𝐧 𝐈𝐦𝐩𝐚𝐜𝐭: I introduced a streamlined data warehouse in BigQuery and built several self-service dashboards to provide actionable insights company-wide. Knowing these insights empower our teams daily makes the work incredibly rewarding.
• 𝐒𝐭𝐚𝐫𝐭𝐮𝐩 𝐋𝐢𝐟𝐞: Working at a startup, especially during a pivot, is a blend of excitement and challenges. It’s been inspiring to watch NasCompany transform and grow, adapting to the needs of a global creator community.
• 𝐑𝐞𝐦𝐨𝐭𝐞 𝐓𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧: The move back to India from Singapore was major, but NasCompany made it seamless, allowing me to keep contributing to the mission remotely. I’ve had the perfect balance of flexibility and impact! 🌏🏠
• Being part of a global impact journey, building tech to empower creators, and working with an inspiring team—this experience has been nothing short of transformative. Here’s to the challenges, wins, and all that’s yet to come!

Nov 2014 – Oct 2022 · 7 yrs 11 mos · Singapore

• Data Engineer
• Facebook (Meta)
• Singapore
• Working at Facebook was a transformative chapter in my career, pushing me to refine my skills and adapt to new challenges in a fast-paced, data-driven environment. Key highlights include:
• Project Focus: Contributed to major projects such as Data Warehouse Optimization, Product Analytics, Ad Sales Performance Analysis, Facebook Ads Data Logging, and Internal Product Analytics. Each project honed my ability to scale data infrastructure and deliver actionable insights.
• Enhanced Infrastructure: Developed and optimized scalable data pipelines, supporting high-volume processes and improving data efficiency across multiple teams.
• Cross-Cultural Collaboration: Partnered with a diverse, global team, which not only advanced my technical expertise but also sharpened my communication and cultural adaptability.
• Learning and Mentorship: Benefited from the guidance of inspiring mentors, deepening my expertise in new tech stacks, critical thinking, and strategic problem-solving, all of which laid a foundation for my continued growth.
• This role was more than just a job; it was an immersive experience that combined innovation and practical impact, allowing me to play a part in one of the world’s leading data-driven ecosystems.

Jan 2013 – Oct 2014 · 1 yr 9 mos

• Big Data Engineer
• Amdocs
• India
• Starting my career with Amdocs was a pivotal step that shaped my path in data engineering. I took on complex, high-stakes challenges that deepened my technical knowledge and pushed my boundaries. Here are some highlights:
• Pioneering Big Data Projects: As the first Big Data Engineer in the Amdocs Data Warehouse division, I led proofs of concept (POCs) and implemented big data solutions for a major telecom client. This opportunity honed my expertise in handling high-volume data and complex analytics.
• Key Contributions: Worked on projects focused on Data Migration, System Integration, and Data Processing Optimization, delivering results that improved efficiency and performance in data warehousing solutions for telecom clients.
• Handling Critical Incidents: During a high-pressure situation, I accidentally deleted 80TB of Data Warehouse data. I took immediate ownership, stayed in the office for 12 straight hours, and worked alongside the team to restore the data from backup, turning a challenging experience into a valuable lesson in problem-solving and resilience.
• Cross-Functional Collaboration: Partnered with developers, analysts, and client teams to align business goals with technical solutions, boosting my ability to translate requirements into effective engineering outcomes.
• Professional Growth: Amdocs provided a strong foundation in data engineering fundamentals and the telecom industry, setting the stage for my next career steps in big data.
• My time at Amdocs was transformative, filled with growth, learning, and the kind of challenges that truly shape one’s career.

Jul 2010 – Dec 2012 · 2 yrs 5 mos

Jan 2010 – Jul 2010 · 6 mos · Bhopal Area, India