- Analyzed the multiple data sources to provide insights to clients.- Developed stored procedures and triggers to ensure scalability for monthly data- Deployed Azure Storage account to set medallion architecture.- Developed data extraction process from API providers and databases using python and SQL.- Developed transformation process using Databricks.- Developed a enqueue system using Azure Queue Storage and Databricks.- Automated ETL process using Azure Data Factory.- Developed functional LLM's using Graph databases (Neo4j), openai and langchain for POC's.- Deployed the LLM applications in an Azure Web Service using Azure Container Registry and Docker.- Developed and deployed UI for LLM applications using streamlit.- Developed and deployed endpoints to retrieve data using python and fastapi.

- Identified and evaluated multiple data sources using PySpark.- Analyzed and developed multiple quantitative and qualitative variables to develop models.- Used HDFS commands to access and manage the data.- Used Bitbucket to manage the code repositories.

- Developed ETL process to calculate KPI's in Azure Databricks using PySpark- Data Integration using Azure Data Explorer & Data Factory- Used AzureRepos to manage new code versions and refactored code- Used HDFS commands to access and manage the data.

- Developed ETL process to migrate data to cloud environment.- Estandardized and refactored SAS and SQL code to Pyspark.- Validated and guaranteed main quality rules in the process.- Used HDFS commands to access and manage the data.- Analyzed different source of data and developed processes to visualize reports using Pyspark and Data Studio.

- Designed and developed diverse programming and databases courses for non programming audience.- Monitored and assessed the student progress during the development of the course.- Provided consultancy in different topics related to progrraming for Myntech core activities.

- Automated the data extraction from different sources(PL/SQL) to analyze the Non Financial Incomes of the Bank for the Financial Planning VP.- Validated and consolidated diverse SQL queries to optimize the Non Financial Incomes report which resulted in a reduction of the report generation process from 1 week to 1 day.- Assessed the impact of the Non Financial Incomes in the General Accounting and the Financial Statements of the bank.

- Assisted the principal professor in the Introduction to Programming Class (HTML, CSS, VBA, Python, etc.).- Provided tutoring for students in different programming concepts and languages and developed course topics through discussion.

- Developed and implemented a new process to visualize the main variations of the Liquidity Coverage Ratio (LCR)- Consolidated diverse SQL Queries into a single query to optimize the ETL process from the source of data.- Developed a single macro to execute the process daily, using diverse variable parameters to analyze the inputs variation effect in a projected LCR.