Delivers data warehouse and ETL solutions as part of an agile team using advanced machine learning techniques to improve performance and processes.

Helps build and improve infrastructure, application and performance development and ensures tight security including data encryption, security groups, and environment scanning.

Ensures high-quality deliverables and implements security best practices in fast-paced environments.

Conducted technical analysis sessions to understand the technical requirements, working independently and directly with the client.

Worked with cloud - Azure technologies, also creating ETL flow using DataBricks and Python/Pyspark.

Created Data Visualization reports to help the client understand data, also conducting deep business data analysis for the retails sector.

Handled technical analysis sessions to understand technical requirements and consulted with clients about technical implementation best practices.

Created the business flow and ETL of a database system, also optimizing the database flow/SQL scripts.

Created wrappers and scripts in Linux ksh, as well as managed data troubleshooting and data analysis.

Configured ETL processes from onekey database for client requirements. Created extracts, mappings, and analysis using Python.

Worked with multiple technologies including Oracle pl/sql, Solr, JIRA, Salesforce, Json, XML, and web services.

Coordinated internal projects, as well as projects for smaller clients. Comummicated with the client business and developers teams.

Handled the maintenance and optimization of the database, creating ETL processes in T-SQL.

Used Python for data analysis and visualization, also creating scripts in Powershell for data manipulation.

Worked on improving code and applications using C#.