Results-driven Python Engineer and Data Engineering Professional with 8+ years of experience designing, developing, and deploying scalable backend applications, data platforms, and cloud-native solutions. Expertise in Python programming with strong hands-on experience in Flask, FastAPI, Django, and Pyramid frameworks for building secure, high-performance RESTful APIs and microservices architectures. Proficient in developing robust backend systems, implementing asynchronous programming, optimizing I/O operations, and integrating authentication and authorization mechanisms using JWT, OAuth, and modern API security best practices. Experienced in database design, ORM technologies including SQLAlchemy and Django ORM, relational databases (Oracle, MySQL), and large scale data processing using PySpark and ETL frameworks. Strong background in building data transformation pipelines, data quality frameworks, and scalable data solutions leveraging AWS, Azure, and GCP cloud platforms. Skilled in Big Data technologies including Spark, Kafka, and distributed data processing systems, with hands-on experience in CI/CD pipelines, Git-based version control, Docker, and software development best practices. Adept at translating complex business requirements into reliable, maintainable, and high performing solutions while collaborating effectively with cross functional teams. Recognized for strong problem solving abilities, attention to detail, and delivering secure, scalable, and data driven applications in enterprise environments.
Charter is a global Network leader. Project Customer inventory hub migration with Python, Pyspark, Django, Flask, AWS Glue pipeline, S3 bucket, File handling, postgreys, Salesforce, FastAPI. Developed high performance RESTful API and scalable ETL pipelines using AWS glue and Pyspark to process large datasets, dynamically handling missing service characteristics and optimizing data transformation for performance, microservices, secured API's.
RBC is a global banking leader. Project Exchange traded fund settlement cycle T+1 migration with Python, Kafka topic for central data repository, Idol Framework and Data analysis. Involves handling database, data format, SQL script, test cases, Jira, Hadoop, API & documentation. Scalable backend applications and RESTful APIs using Django, Flask, and FastAPI, enabling secure and efficient access to enterprise datasets and business services. Designed, developed, and deployed scalable RESTful APIs and real-time inference services using FastAPI.
Pfizer is produce medicines and vaccine for immunology, Oncology, cardiology, endocrinology and neurology. They take the data from patient visit form and medical report. Designed, developed, and deployed scalable RESTful APIs and real-time inference services using FastAPI. They used this data to successfully develop new medicine and vaccine as per different type patient medical condition. Developed robust data access layers utilizing Django ORM and SQLAlchemy, enabling efficient database interactions, transaction management, and optimized query performance.
Fujitsu faces complexity with internet trends & mobile technology growth, requiring efficient internet bandwidth management for increasing usage.Developed robust data access layers utilizing Django ORM and SQLAlchemy, enabling efficient database interactions, transaction management, and optimized query performance. Bandwidth and QoS solutions are crucial for effective control and distribution for internet service providers.
The Home Depot is the largest US home improvement retailer, utilizing product analytics for data-driven decisions on pricing, stock, and product performance to optimize sales.