Pradeep Kumar Tekmal

Developed and maintained Python applications across the full SDLC, designing RESTful/GraphQL APIs and microservices using Python (Django, Flask, FastAPI), Go, TypeScript, Node.js, and React to support customer-facing SaaS features. Implemented RBAC and custom permissions with SQLAlchemy across PostgreSQL, SQL Server, MongoDB, MySQL, and Elasticsearch. Built real-time, event-driven features with Node.js, Socket.IO, Celery, RabbitMQ, Redis, and Kafka, delivering 30–40% improvements in notifications and payment processing. Integrated Go-based services with Kafka and REST APIs, improving reliability and throughput. Delivered cloud-native solutions on AWS and GCP, leveraging Docker and Kubernetes. Automated CI/CD with Jenkins and GitHub Actions and developed ETL pipelines with Airflow, PySpark, Spark, and Ab Initio to support analytics in Snowflake and Databricks. Optimized Python workflows with NumPy, Pandas, SciPy and extended with C++ modules via CPython for performance-critical compon

Developed and maintained Python applications across the full SDLC, supporting research and development initiatives aligned with emerging technology strategies. Designed and built RESTful/GraphQL APIs and microservices using Python (Django, Flask, FastAPI), Go (Golang), and TypeScript, Node.js, and React.js to support customer-facing SaaS features. Implemented RBAC, custom permissions, and SQLAlchemy ORM models while integrating with PostgreSQL, SQL Server, MongoDB, MySQL, and Elasticsearch. Engineered real-time event-driven applications with Node.js and Socket.IO, enabling live notifications and chat features. Constructed event-driven systems with Celery, RabbitMQ, Redis, and Kafka, achieving 30–40% performance improvements in real-time features such as notifications and payment processing. Integrated Go-based services with Kafka, PostgreSQL, and REST APIs, enhancing overall system reliability and throughput. Delivered cloud-native and serverless solutions on AWS (Lambda, Step Functi

Designed and developed scalable RESTful APIs and microservices using FastAPI, Flask, and Django; built front-end components with React.js, Node.js, Angular.js, jQuery, HTML/CSS. Implemented ETL/data pipelines with Airflow, PySpark, Ab Initio, PL/SQL, processing XML/CSV/text into AWS S3, Redshift, and Snowflake. Developed Spark SQL scripts for near real-time processing of streaming data from Kafka, reducing data latency from 24 hours to under hours. Integrated HL7 v2 and FHIR healthcare data standards; implemented HIPAA governance policies to improve interoperability and auditability by around 30%. Deployed cloud-native apps on AWS and Azure; containerized services with Docker and Kubernetes; improved API response times with Redis caching; led ML/analytics workflows with TensorFlow Serving and MLflow in production. Mentored a team of 5 developers, conducted code reviews, and led sprint delivery improvements by about 20%.