Data Engineer at LTIMindtree
A results-driven engineer specializing in high-performance data systems. Architected Kafka and REST API services, cutting data latency by 95%. Automated ETL pipelines, reducing development time by 80%. Deployed containerized microservices on OpenShift with Docker, ensuring 99.9% uptime and robust security with a modern DevOps toolchain.
Company
LTIMindtree
Location
Pune, India
Period
Jul 2022 - present
Company Link
Highlights
- - Developed Spring Boot Kafka services to stream over 1 million events daily, replacing a manual FTP process and reducing data processing latency by 95%.
- - Built and scaled a suite of RESTful APIs supporting over 100,000 requests per minute, which improved system performance and data accessibility for end-users.
- - Engineered complex Talend jobs to process and load over 50 GB of data daily into Oracle tables, integrating stored procedures and custom Java code for advanced transformations.
- - Automated and optimized a multi-layer Talend data pipeline, which reduced the average development and deployment cycle time by a significant 80%.
- - Leveraged Docker to containerize microservices, which streamlined the CI/CD pipeline and decreased average deployment time from hours to under 10 minutes.
- - Engineered a centralized ELK Stack solution ingesting 100+ GB of log data per day, which reduced the mean time to resolution (MTTR) for production issues by 40%.