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I'm Pradeep Kumar Tekmal, a full-stack developer with over five years of experience building scalable enterprise solutions using Python, JavaScript, and TypeScript. I design and implement RESTful and GraphQL APIs, microservices, and event-driven systems, and I work with cloud platforms, Docker, and Terraform to deliver robust, cloud-native software. I enjoy rapid prototyping and collaborating with cross-functional teams to bring ideas to production while focusing on reliability, performance, and security. I thrive on R&D at the intersection of AI, machine learning, and blockchain to drive business innovation. I excel in CI/CD, testing, and deploying cloud-native solutions; I also mentor teammates to improve sprint delivery and code quality. I’m passionate about translating business needs into scalable technical solutions and continuously learning to stay ahead in the rapidly evolving tech landscape.…I'm Pradeep Kumar Tekmal, a full-stack developer with over five years of experience building scalable enterprise solutions using Python, JavaScript, and TypeScript. I design and implement RESTful and GraphQL APIs, microservices, and event-driven systems, and I work with cloud platforms, Docker, and Terraform to deliver robust, cloud-native software. I enjoy rapid prototyping and collaborating with cross-functional teams to bring ideas to production while focusing on reliability, performance, and security. I thrive on R&D at the intersection of AI, machine learning, and blockchain to drive business innovation. I excel in CI/CD, testing, and deploying cloud-native solutions; I also mentor teammates to improve sprint delivery and code quality. I’m passionate about translating business needs into scalable technical solutions and continuously learning to stay ahead in the rapidly evolving tech landscape.

Pradeep Kumar Tekmal

Full Stack Developer, Back-End Developer, Front-End Developer, +2

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I'm Pradeep Kumar Tekmal, a full-stack developer with over five years of experience building scalable enterprise solutions using Python, JavaScript, and TypeScript. I design and implement RESTful and GraphQL APIs, microservices, and event-driven systems, and I work with cloud platforms, Docker, and Terraform to deliver robust, cloud-native software. I enjoy rapid prototyping and collaborating with cross-functional teams to bring ideas to production while focusing on reliability, performance, and security. I thrive on R&D at the intersection of AI, machine learning, and blockchain to drive business innovation. I excel in CI/CD, testing, and deploying cloud-native solutions; I also mentor teammates to improve sprint delivery and code quality. I’m passionate about translating business needs into scalable technical solutions and continuously learning to stay ahead in the rapidly evolving tech landscape.…I'm Pradeep Kumar Tekmal, a full-stack developer with over five years of experience building scalable enterprise solutions using Python, JavaScript, and TypeScript. I design and implement RESTful and GraphQL APIs, microservices, and event-driven systems, and I work with cloud platforms, Docker, and Terraform to deliver robust, cloud-native software. I enjoy rapid prototyping and collaborating with cross-functional teams to bring ideas to production while focusing on reliability, performance, and security. I thrive on R&D at the intersection of AI, machine learning, and blockchain to drive business innovation. I excel in CI/CD, testing, and deploying cloud-native solutions; I also mentor teammates to improve sprint delivery and code quality. I’m passionate about translating business needs into scalable technical solutions and continuously learning to stay ahead in the rapidly evolving tech landscape.

Available to hire

I’m Pradeep Kumar Tekmal, a full-stack developer with over five years of experience building scalable enterprise solutions using Python, JavaScript, and TypeScript. I design and implement RESTful and GraphQL APIs, microservices, and event-driven systems, and I work with cloud platforms, Docker, and Terraform to deliver robust, cloud-native software. I enjoy rapid prototyping and collaborating with cross-functional teams to bring ideas to production while focusing on reliability, performance, and security.

I thrive on R&D at the intersection of AI, machine learning, and blockchain to drive business innovation. I excel in CI/CD, testing, and deploying cloud-native solutions; I also mentor teammates to improve sprint delivery and code quality. I’m passionate about translating business needs into scalable technical solutions and continuously learning to stay ahead in the rapidly evolving tech landscape.

Skills

Experience Level

Expert

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Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Python Full Stack Developer at CME Group

May 1, 2024 - Present

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

Python Developer at Providence Health

November 1, 2022 - September 17, 2025

Contributed in Agile environments, engaging across the complete Software Development Life Cycle (SDLC) from design to deployment. Designed and developed scalable RESTful APIs and microservices using FastAPI, Flask, and Django, integrated with front-end components built in React.js (Hooks, Redux, Context API), Node.js, Angular.js, jQuery, HTML, and CSS. Constructed ETL and data pipelines using Apache Airflow, PySpark, Ab Initio, PL/SQL, and Python to process large-scale data from XML, CSV, and text files 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 healthcare data systems using HL7 v2 and FHIR, and designed governance policies compliant with HIPAA, which improved interoperability and auditability by 30%. Conducted data analysis and visualization with Pandas, NumPy, and Matplotlib, supporting both time-series and tabular analytics. Deployed serve

Junior Python Developer at Reliance

March 1, 2020 - September 17, 2025

Assisted in developing Django-based web applications with PostgreSQL, including schema design and maintaining data integrity. Contributed to building RESTful and GraphQL APIs within a Microservices architecture, enabling efficient communication across services. Developed data workflows with Pandas, NumPy, and PySpark, and supported migration into AWS Glue, improving data processing efficiency by 15%. Automated data extraction and web scraping using BeautifulSoup and Pandas, reducing manual collection efforts by 30%. Participated in ETL pipeline development with PySpark and Airflow, processing large-scale datasets for downstream analytics. Supported CI/CD pipeline automation using Git, Gerrit, Jenkins, and Python, helping shorten deployment cycles by 20%. Implemented unit and integration testing with PyTest and Selenium, improving reliability and reducing defects during release cycles. Assisted in configuring monitoring and logging with Prometheus and Grafana to enhance system observabi

Python Full Stack Developer at CME Group

May 1, 2024 - Present

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

Python Developer at Providence Health

November 1, 2022 - September 17, 2025

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%.

Junior Python Developer at Reliance

March 1, 2020 - September 17, 2025

Contributed to Django-based web applications with PostgreSQL; built RESTful and GraphQL APIs within a microservices architecture; designed data pipelines with Pandas, NumPy, PySpark, and migration to AWS Glue. Automated data extraction and web scraping with BeautifulSoup, reducing manual data collection by 30%. Participated in ETL pipelines with PySpark and Airflow to process large-scale data for analytics; supported CI/CD automation with Git, Gerrit, Jenkins and Python; implemented unit and integration tests with PyTest and Selenium; set up monitoring with Prometheus and Grafana to improve observability.