- Oversaw the entire product lifecycle from inception to deprecation, leading the development of highly scalable RESTful APIs for a distributed platform accommodating multiple microservices.- Designed user interfaces using PostgreSQL, Python, and Django, ensuring optimal performance and user experience.- Developed robust web applications with Python, Django, AWS, PostgreSQL, and MongoDB, enhancing features and resolving bugs.- Managed data extraction from REST APIs, performed data munging, modeling, and loaded data into Redshift DB.- Engineered an Invoice Application within a Data Platform, enabling analysis, visualization, and prediction of Commercial Real Estate trends.- Created Python scripts for JSON file manipulation and utilized NumPy and Pandas for data manipulation and machine learning model validation.- Provided reusable scripts based on data behaviors, and supported administrative tasks for applications, databases, and hosting environments.- Designed and implemented REST APIs following a microservices architecture with Kafka and MongoDB.- Contributed to dashboard feature development using React, CSS, and JavaScript, and managed Continuous Integration (CI) with Jenkins and Bitbucket.- Assisted in creating interactive API documentation for Python SDK methods and developed a framework for converting Power Center mappings to PySpark.- Led Position, PnL, and FICC data migration into Snowflake and Vertica, coded Snowflake data loaders in Python, and created ETL pipelines.- Provided guidance on PySpark and orchestrated ETL processes using Airflow and NiFi tools.- Implemented Amazon AWS S3 and RDS support and debugged applications by analyzing log files.- Modularized Python modules into APIs and enforced code quality through PyUnit unit testing frameworks.- Spearheaded unit test/regression test frameworks and developed test automation scripts using Python Selenium WebDriver.- Crafted userstories and translated into SCRUM tasks for agile development.

- Implemented a modern data engineering platform with serverless and event-driven architecture using various AWS services.- Established the ABC framework (Audit and Balance Control Framework) for incremental data quality checks and business rule validations.- Developed Python applications utilizing Django, Flask, and other frameworks, ensuring code quality through unit testing and maintainability.- Orchestrated the onboarding and development of multiple layers in the data pipeline, from the landing layer to the conforming layer, facilitating loading into the consolidated data model.- Created an Auto Regression testing framework leveraging step functions for serverless regression testing automation.- Proficient in API security frameworks, token management, and user access control, including OAuth, JWT, etc.- Operated within an Agile/SCRUM environment, utilizing GitHub and custom branching strategies for code promotion.- Integrated AWS Glue jobs with AWS Lambda triggers for event-driven invocation of data jobs.- Utilized Pyspark for developing data jobs in AWS Cloud, leveraging dynamic data frames and SparkSQL for transformations.- Deployed Python-based microservices in Docker and Amazon EC2 containers using Jenkins, scaling them with Simple Queue Service (SQS).- Developed APIs for various platforms (Web, Mobile App, etc.) in languages like NodeJS, PHP, etc.- Proficient in working with Big Data platforms and ETL, particularly with Hadoop/Distributed platforms.- Experienced with modern frontend frameworks and tools such as Webpack, Yarn, Gulp, Grunt, Angular, React, and Sass.- Expertise in Linux and deployment schemes using configuration management tools like Ansible/Puppet.- Familiarity with WebSocket connections and building RESTful APIs for Python API development.- Utilized cloud platforms (AWS: EC2 and serverless Lambda), microservices architecture, CI/CD solutions (including Docker), DevOps principles, message queue systems and background task mngt.

- Analyzed and documented requirements, architecting applications based on J2EE standards.- Designed, maintained, developed, tested, and deployed websites.- Developed frontend and backend modules using Python on Django Web Framework.- Designed and developed website UI with HTML, AJAX, CSS, and JavaScript.- Implemented SQL Alchemy for comprehensive SQL access and managed data using MySQL.- Wrote Python scripts to parse XML documents and store data in the database.- Created real-time dashboards for Executives using Logstash, Graphite, Elasticsearch, Kibana & Redis.- Dynamically generated property lists for applications using Python.- Assisted in migrating to Jira database with Python scripts for data transfer and verification.- Analyzed cross-functional applications, enforcing Python best practices and guiding architectural decisions.- Utilized Pandas API for time series and tabular data manipulation.- Implemented Test Driven Approach with Python Unit Test framework for automation testing.- Used PyQuery for DOM element selection when parsing HTML.- Worked with JSON-based REST Web services.- Deployed AWS web applications on Linux servers using Bash scripting.

- Contributed to application architecture development and blueprints for defining components.- Developed frontend and backend modules using Python on Django Web Framework.- Automated production tasks with Python scripts and dynamically generated property lists.- Proposed and implemented a Chatbot using Rasa-NLP library on IBM Bluemix, reducing call center volume.- Built Chatbot from scratch using IBM Watson Conversation service and Cloudant DB.- Developed J2EE components on Eclipse IDE and migrated Java applications to Python modules.- Analyzed cross-functional systems, enforcing Python best practices and guiding architectural decisions.- Engaged in various SDLC phases including requirements gathering, modeling, analysis, design, and development.- Used PyQuery for DOM element selection in HTML parsing and PyUnit for unit testing.- Worked with JSON-based REST Web services and utilized NLTK and NLP for text data processing.- Leveraged MongoDB data for AI and machine learning models.- Deployed and configured applications on AWS, utilizing UNIX shell scripting for automation.