Design and implement data warehouse architecture on GCP with BigQuery. Develop and monitor ETL/ELT pipelines using Python and SQL for data ingestion into BigQuery. Automate data extraction from unstructured files for processing with Generative AI models. Optimize data pipelines for performance and stakeholder needs. Collaborate with stakeholders to design and maintain PowerBI dashboards.

Conducted exploratory data analysis using SQL to identify project direction. Cleaned and validated data with SQL, Python, Excel, and Google Sheets. Developed SQL scripts for APIs and automated data cleaning tasks with Python. Analyzed historical data and created reports for performance summaries and problem segmentation.

Conducted exploratory data analysis using Oracle SQL to identify potential problems and challenges, which would help to determine the direction of the project. Cleaned and validated data using tools such as SQL, Python, Excel, and Google Sheets, ensuring that the data to be migrated was accurate and complete. Executed and supervised data migrations, ensuring that they were completed within project deadlines and resolving any issues that arose during the process. Developed SQL scripts that were used in APIs that different teams would use to collect and validate data about migrating customers. Created scripts using Python (Pandas, NumPy) to automate data cleaning tasks. Analyzed historical migration data to create reports for different teams. Provided support to the migration team in different administrative tasks which would include creating JIRA tickets for issues found, creating change management requests for incoming migrations, and also communicating with different teams to ensure fast resolution times.

Provided backend support for web applications used by front-line team members. Assisted in the development of new features for business web applications using programming languages such as Python (Django) and JavaScript (React) following an agile methodology.

Leveraged Google Sheets for agent performance analysis, resulting in a 30% improvement. Implemented data collection plans for knowledge improvement and training programs. Led data migration projects for Google Workspace, ensuring seamless data transitions.

Conducted data analysis using Google Sheets related to agent performance to create and implement data labeling plans for Google Contact Center AI that resulted in an immediate performance improvement of around 30% and in a few months led the team to be the best evaluated in this metric. Developed data collection plans for frontline agents that would help the technical leadership team to identify areas of weak knowledge in the agent population. Led projects related to solving Google Workspace data migration problems at small and large scale, also performing root cause analysis.

Assisted Google Workspace administrators with email data migration and troubleshooting. Provided support to users on Google’s Mobile Device Management and LDAP data syncing.

Assisted Google Workspace administrators in performing and troubleshooting email data migration for small and large enterprises. Assisted Google Workspace users with troubleshooting issues related to Google's Mobile Device Management and syncing data from LDAP servers like Active Directory.