Siddhartha Panda

Background

About Siddhartha Panda

12 years of experience as a Java Developer/ BPM Developer with proven strong problem solving and analytical skills. 7 years of Capital Market experience in Client Lifecycle Management Exposure to the practices of Software Development Lifecycle (SDLC) Certified Agile working experience of Agile (scrum) including daily Scrum meeting, Sprint planning & Retrospective Exposure to using Azure vsts to plan and execute sprints Experience with various design patterns and SOLID principles Developed microservices Rest services using SpringBoot with Open API specification (Swagger 2.0) Strong 2+ years of experience working with Spring framework 2+ years of experience building JSP/JSF application Strong experience with HTML/CSS/JavaScript/jQuery front end technologies IBM certified BPM developer with strong 5+ years of experience with IBM BPM 8.x, Lombardi Teamworks7 designing business process with process designer and deployments using process centre Strong SQL skills with Oracle 12c and SQL server 2016 1 year of experience with building rest services with JAX RS Working experience of testing using selenium robot framework Working experience with elastic search installation and querying and loading data with Logstash 1 year of working experience with.Net MVC application with complete CI/CD with Azure Working experience with messaging queues Working experience with React JS and NPM(Node) 7 years of working experience with JBOSS/Websphere/Weblogic servers 10 yrs working with windows & linux environments 2 yr working experience with Fenergo CLM Working experience with ServiceNow, HPQC, Azure board Production support, Production deployments coordination, creating deployment plans, coordinating with multiple teams to investigate application and environment issues Exposer to Dockerization of Java Applications Exposer to messaging queues Exposure to libraries like pandas and fuzzywuzzy Exposure to building rest apis using flask Exposure to machine learning techniques of classification, regression and clustering using scikit-learn, pandas and numpy library on Jupyter notebook Exposure to data visualization techniques with folium and matplotlib