15 + years of experience in Developing and Programming, Data Modeling, Data Analysis, providing Business Intelligence and Data Warehousing solutions with technical expertise in PostgreSQL 16.0, MS SQL Server 2014/2016, Snowflake 8.2, DBT (Data build tool) V1.8, Azure Data factory (ADF), UNIX Shell Scripting, AWS, Informatica 8.1/9.1, Oracle PL/SQL, Sybase ASE 12.5/15.0/17.0, SSMA, CI/CD, AutoSys, Airflow.Strong knowledge of Migration using AWS Services, Informatica, SSIS, DBT (Data build Tool) and Azure Data factory pipelines, SSMA , Oracle PL/SQL , PostgreSQL , MS SQL , Sybase ASE/IQ and Snowflake.Skilled in end-to-end development software products from requirement analysis to system study, coding, testing, configuration, documentation, and implementation. Experience in Evolving Strategies and developing Architecture for building a Data warehouse by using data modeling tool Erwin.Extensively worked on developing and debugging ETL/ELT pipelines to extract, load and process data from one instance to another instance using various sources like Structured, Uninstructed, Semi Structured data along with implement the rules to fulfill business logic, data cleansing and data validation.Well versed in developing complex SQL queries, complex joins, stored Procs, views, function, trigger and packages. Responsible for developing SQL based business application for automated Trading platforms.Extensively worked on performance tuning of T-SQL and PL/SQL to minimize latency and maximize throughput, finding the incorrect histogram, correct way to use of index, improve parallelized, upgrade to use new optimizer in T-SQL query, partitions the tables to improve performance.Ability to manage complete SDLC, adept in leading and working with the team, analyzing the client requirements, translating new ideas into client's solutions including opportunity identification, requirement analysis, designing and development, implementation and support. Good Experience to write the python script to load/compare the analytics reports and send them to the end users. Also, have good exposure to use python to generate the analytics report for the end users.Good experience in Capital market and Banking domain to handle OPTIONS, FUTURES and Other Derivatives , and Bonds (Munis, agency, corporate, treasury, taxable Munis ,fixed bonds, callable bonds, floater, tips etc.). Good understanding on risk measures data like YTM, YTW, AVERAGE LIFE, DURATION, YTA,YTC, OAS, CONVEXITY etc.. good exposure on Agile / Scrum software development methodology.