- Reverse-engineered Erwin Physical models from existing PostgreSQL, DB2, and MySQL databases.- Created new Logical and Physical models for storing data in AWS. Merged new models into our existing Operational model.- Performed DDL Operations on various DB objects in SQL, MySQL, and PostgreSQL.- Assisted another team on a project to consolidate different JSON payloads into a unified schema.- Highlight: I helped the team update their documentation based on my own experience with the on-boarding process. I provided extensive Confluence documentation for all models that were worked on.- Primary Tech Stack: Erwin Data Modeler, VS Code, DBeaver, GitLab, Power BI, MySQL Workbench, Databricks.

- Created new Data Vault 2.0 models for our Enterprise Analytics Warehouse (EAW).- Built several pipelines using different technologies to get data from internal/external sources to build datasets for groups like Training, Telecom, and HR.- As Tech Lead, mentored the other developers and advised on our technology strategy.- Highlight: We were the first team in our department that needed to move data from Salesforce to Snowflake. I created three POCs for different pipelines and presented that to the Architecture group. After coming to a consensus, I developed and implemennted the preferred solution.- Primary Tech Stack: Snowflake, Salesforce, Informatica (on-prem), PowerDesigner, Git, PowerBI.

- Debug and optimize SQL queries to resolve production issues and increase performance.- Work with business units to help create project requirements.- Stage large datasets for business units to explore while they are determining project requirements or doing ad-hoc research.- Build infrastructure required for optimal ELT of data from various sources using Azure Databricks and SQL technologies.- Train junior developers on development tools and practices.- Present new data analytics solutions to stakeholders.- Highlight: Led an initiative to consolidate documentation between siloed development teams. We were able to come up with a shared set of standards and practices, centralized in Confluence.- Primary Tech Stack: SQL, SSMS, SSIS, Azure Data Lake, Databricks (Python and SQL), Snowflake, Jira, GitKraken, PowerBI.

- Developed SSRS reports, managed SSIS ETL processes, and made updates to our SSAS cubes.- System Administrator for OnBase (stores and retrieves information from scanned documents).- Visual analytics reporting, monitoring, and tuning in the Tableau development environment.- Highlight: Showed great aptitude during Tableau demonstrations and training. Was selected to join a small team of developers to help with the Tableau pilot project (unified scorecard).- Primary Tech Stack: SQL, SSMS, Visual Studio, Team Fortress Server, SSRS, Tableau

- Developed data extraction routines using JavaScript and PDF formatting instructions using LaTeX.- Every customer had a unique file type/structure that they would send us. I had to find innovative solutions to each customer's requirements.- Tightly managed the efficiency of our operations teams (Implementation Programmers, Account Managers, and Production).- Accompanied Sales team on presales meetings as the technical SME.- Highlight: Within the first 2 years, was promoted from entry level Developer to Operations Manager over Account Manager, Implementation Developer, and Production teams (around 20 people).- Primary Tech Stack: MySQL, LaTeX, Javascript, TortoiseSVN, MS Access, Ruby.