Summary
Sankit Acharya is a platform engineer with a decade of experience designing and delivering distributed backend and data systems, currently building scalable ETL and streaming platforms at Logically from Bengaluru. He specializes in Python-based microservices, queues (Kafka, RabbitMQ), and cloud-native deployments on GCP/AWS, with hands-on expertise in Kafka, Faust, Celery, FastAPI, and Kubernetes. Sankit has repeatedly improved system performance through algorithmic optimizations—most notably a modified Klee’s algorithm that cut memory and compute costs by ~70%—and has implemented multiprocessing and hashing strategies to dramatically reduce execution time in prior roles. He blends deep engineering (databases like MongoDB/Redis, observability with Prometheus/Loki, Elasticsearch) with cross-team design leadership and CI/CD automation. Beyond production systems, he contributes to ML infrastructure work and builds developer-facing tooling that saves significant manual effort, reflecting a practical focus on developer productivity as well as runtime efficiency.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, A, Bachelor's degree, Electrical, Electronics and Communications Engineering, A at KiiT University
English, Hindi, Odia