Ninaad Sawant
Data Engineer | AWS • Spark • Kafka • Snowflake • Airflow | Real-Time & Big Data Systems | Open to Full-Time Opportunities
- Role
- Data Engineer at MetLife
- Location
- Boston, MA, US
- LinkedIn followers
- 500 followers
About Ninaad Sawant
Data Engineer with 5+ years of experience designing scalable, cloud-native, and data-intensive systems across the USA and India.• Strong in Data Engineering, Big Data, ETL/ELT pipelines, Streaming Systems, and Cloud Computing using AWS, Azure & Snowflake.• Advanced expertise in Spark, Hadoop, Kafka, Airflow, Hive, SQL, Python, and distributed data processing for real-time and batch workloads.• Proficient in Java (Spring Boot, Spring Cloud, Spring MVC) and MERN Stack for building secure, high-performance enterprise applications.• Skilled in microservices architecture, API development (REST & Graph QL), event-driven systems, and system integration using Kafka & RabbitMQ.• Hands-on experience in Docker, Kubernetes, Jenkins, CI/CD, cloud deployments, and monitoring using Grafana, Prometheus, ELK.• Strong understanding of data modelling, performance optimization, caching (Redis), and security (OAuth2, JWT).• Experienced working in Agile/Scrum teams with a focus on code quality, architecture improvement, automation, and reliability.• Additional capability in ML/AI workflows, data visualization (Tableau, Looker), and cloud-based analytics.
Experience
Data Engineer
Jan 2025 — Present · US
Delivered high-performance ETL/ELT pipelines using PySpark, SQL, and Airflow, improving analytical throughput by 45%.• Implemented AWS-based ingestion workflows using S3, Lambda, Glue, ECS, and EKS to reduce latency and enhance system resilience.• Built microservices in Spring Boot and Node.js to support real-time financial event processing through Kafka.• Migrated data workloads to Snowflake, optimizing compute allocation and cutting warehouse costs by 28%.• Engineered REST and GraphQL endpoints enabling consistent data retrieval across analytics teams.• Developed monitoring dashboards using Grafana and ELK, cutting incident resolution time by 35%.• Strengthened deployment reliability via CI/CD pipelines integrated with Jenkins, Docker, and Kubernetes.• Enforced security standards through IAM roles, OAuth2, and JWT to maintain regulatory and audit compliance.• Performed pipeline load tests using JMeter and Locust, improving system stability under peak workloads
Education
Vidyalankar Institute Of Technology
BE - Bachelor of Engineering, Mathematics
2016 — 2020
Clark University
Master of Science - MS, Computer Science
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