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<aside> 👤 I am passionate with everything data 📈. I have experience in the overall data management lifecycle ♻️, specifically in data cleansing 🧹 and data visualization 📊. I offer a proven track record of leveraging data analytics to drive strategic insights and operational efficiency. I am proficient in tools such as Azure DevOps, Databricks, Power BI, and Informatica, as well as skilled in programming languages including Python and SQL.

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Technical Skills

Languages / Databases

• 👨‍💻 Python
• 💽 SQL
• 🧩 MS SQL Server

Cloud Platforms

• 📙 Informatica
• ✴️ Amazon Web Services
• 🚹 Microsoft Azure
• ☁️ Google Cloud

Visualization

• 📊 PowerBI
• 📈 Looker Studio

Data Warehousing

• 🌊 Azure Data Lake
• ✨ Apache Spark
• 🧱 Azure Databricks
• 🔎 BigQuery

Data Pipelines / API

• 📪 Postman
• ⛓️‍💥 REST APIs

Others

• 👾 GitHub
• 📚 Azure DevOps
• 🔹 Confluence / Jira

Work Experience

🎐 Vestas

End-User Computing Intern (M365)

Dec 2022 – Mar 2023

• Assisted, organized, and coordinated with support tickets in the Service Management system. Managed add-ins to be deployed for Microsoft 365 apps to the end-users.
• Assisted on identifying needed knowledge articles, updated existing articles, and contributed to improving the overall knowledge management area. Provided templates to provide efficient communication of the issues encountered by the end-users.

Business intelligence Analyst - Data Quality Chapter

Mar 2023 - Sep 2024

• Collaborated with stakeholders to gather and analyze business requirements, identify data sources, execute data profiling and develop data models to support business needs in SAP and Salesforce. Tasks are documented and organized within Azure DevOps as part of the overall Agile setup.
• Designed and constructed data visualizations, dashboards, and reports that provide actionable insights and drive data-driven decision making in PowerBI. Maintained and enhanced data quality dashboards with daily data refresh across several departments including People & Culture, Global Supply Chain, and Procurement.
• Developed and deployed SQL scripts to measure data quality scores based on business requirements within Databricks. Deployed and updated 30+ data quality calculations for Finance and Global Supply Chain. Maintained 770+ data quality rules across several data domains.

Data Platform Developer - Software Engineering Chapter

Sep 2024 - Present

• Implements a master data management solution within the Informatica platform, consolidating a single source of truth for 45,000+ customers by maintaining a golden record for each attribute across multiple source systems, resulting in enhanced data integrity and unified customer information.
• Leads the end-to-end data integration process between the Informatica platform and critical source systems (SAP, Salesforce, Snowflake), ensuring consistent system connectivity, monitoring firewall openings, and maintaining robust network security to support seamless data flow.
• Designs and executes a comprehensive CI/CD integration strategy that systematically documents, versions, and backs up platform assets through automated pipelines in Azure DevOps, leveraging Informatica's REST APIs to create a streamlined and reliable asset management process.
• Develops targeted automations to significantly enhance Informatica platform performance, including an automated log syncing mechanism to Azure Blob Storage enabling rapid developer log access, and implementing scheduled virtual machine refreshes to optimize efficiency across three distinct environments.