Apr 2023 – May 2025 · 2 yrs 1 mo · Noida, Uttar Pradesh, India

• Architected and implemented a Data Access Layer (DAL) to govern and optimize query performance, ensuring faster and controlled data access across large datasets.
• Enhanced data accuracy and quality by developing smart anomaly detection systems, enabling better insights and analytics for business intelligence.
• Spearheaded AWS cost optimization initiatives, reducing cloud expenditure through efficient resource allocation and data lake storage management.

Jun 2021 – Mar 2023 · 1 yr 9 mos · Noida, Uttar Pradesh, India

• Optimized pipeline performance and resource management to ensure efficient data handling and faster processing times.
• Designed and deployed robust data processing frameworks using Spark and AWS, significantly improving the reliability and performance of data pipelines.
• Played a key role in stabilizing systems, ensuring data quality and availability, and managing continuous improvement initiatives for 99acres’ data infrastructure.

Jul 2019 – Jun 2021 · 1 yr 11 mos · Noida, Uttar Pradesh, India

• ・Contributed to building a comprehensive data lake and Customer 360 solution for one of India’s leading life insurance providers, enabling unified data access and delivering deeper customer insights.
• ・Managed the processing and transformation of large datasets from various sources, including databases, servers, and APIs, utilizing Spark and AWS technologies to ensure data readiness for business use.
• ・Enhanced business decision-making by capturing, validating, and transforming real-time data changes from on-premise relational databases, facilitating better data accessibility and timely insights.
• ・Collaborated closely with cross-functional teams to ensure the smooth integration of data pipelines, improving data quality, availability, and reliability.

Feb 2019 – Jun 2019 · 4 mos · Noida, Uttar Pradesh, India