Working as a contractor for clients in the USA, 100% remote. Performed data modeling, transformation, and engineering using SQL, Python, dbt, and Snowflake. Built a semantic layer in Power BI and Azure services, ensuring reliability and business rule application. Built reliable datasets and pipelines for analytics, reporting, and data products. Performed advanced analysis, statistical metrics, benchmarks, performance indicators, and segmentation. Provided technical consulting to structure data, optimize pipelines, and enhance governance and analytical accuracy. Built pipelines, tables, and reliable datasets for daily and monthly analysis, ensuring data quality, consistency, and traceability across datasets.

Designed and implemented automated data quality controls and reconciliation processes for business-critical datasets. Maintained metadata and supported governance standards for datasets in Snowflake and AWS. Partnered with Data Engineers and Data Owners to align business glossary definitions and data dictionary maintenance. Built a semantic layer in Power BI, QuickSight, and Azure services, ensuring reliability and application of business rules. Automated product processes, including the commission payment system (~$2M/month), implementing scalable ETL pipelines and reducing manual effort by 40%. Developed the Main Dash on Tableau, a Power BI business performance dashboard, delivering actionable insights on growth and profitability to senior leadership. Collaborated cross-functionally with Product, Operations, Data Engineering, Credit, Modeling, and Data Science teams to align data strategies with business objectives. Supervised the development of end-to-end machine learning models, from data mapping to model deployment, improving predictive accuracy and business outcomes. Worked with the CRM squad, generating analytical insights using tools such as Salesforce, AWS, and Adobe Analytics, supporting customer segmentation and engagement strategies.

Led end-to-end data projects using Snowflake, managing data mapping, modeling, and visualization, and serving as the focal point for Cloud projects. Directed Data Visualization (Dataviz) and Analytics initiatives, guiding the team in applying best practices for problem-solving and data-driven decision-making. Managed data extraction and consolidation processes, integrating tools such as Snowflake, Redash, Redshift, GCP, ADS, Google Analytics, and HubSpot, ensuring data integrity and quality. Developed and maintained ETL pipelines, leading the team to build efficient processes for feeding dashboards and reports in Tableau and Google Data Studio, reducing report generation time by 30%. Facilitated cross-functional collaboration by mapping processes and data flows between different business areas, aligning stakeholders from Marketing, Sales, and Engineering teams. Automated data structures and dashboards in Power BI, supervising the creation of scalable and easy-to-maintain reporting environments. Led Martech (Marketing Technology) analytics projects, applying insights to drive campaign optimization and business solutions, improving conversion rates through data-driven strategies.

Conducted data analysis to support project development, business diagnosis, and data-driven decision-making across multiple business units. Led data extraction and consolidation processes using SQL, Python, and PySpark, enabling comprehensive market mapping and performance analysis. Ensured data quality and governance, implementing best practices in the use of Tableau and Databricks for data visualization and reporting. Served as the primary point of contact for data analytics, providing training and support to cross-functional teams and developing complex SQL queries for insights generation. Participated in the entire data lifecycle, from understanding business rules and KPIs to building datasets in Databricks and Snowflake, ensuring accurate data validation and visualization in QuickSight. Collaborated with engineering and operations teams to improve ETL pipelines using Airflow, automating data workflows and reducing manual processes.

Structured and analyzed data to support the board and senior management in strategic decision-making, delivering insights that guided business initiatives. Extracted and consolidated large datasets via SQL, performing comprehensive market mapping and competitor analysis. Ensured data quality and integrity, implementing validation processes to maintain accuracy across multiple data sources. Built detailed market, category, and competition analyses segmented by verticals and regions, providing actionable insights for business growth. Processed and analyzed data from various platforms (WebPrice, Teradata, Salesforce, E-bit, Nielsen, and Microstrategy), performing cross-platform analysis to generate insights for key stakeholders. Collaborated with Directors, Managers, Account Executives, and Analysts, facilitating cross-functional projects and ensuring alignment in data strategies. Developed and automated interactive dashboards in Tableau, transforming complex datasets into clear, actionable reports for decision-makers.

Provided strategic and commercial planning support, developing analytical reports to guide board-level and managerial decision-making. Created and analyzed detailed sales performance reports using Power BI, supporting senior management with actionable insights. Monitored and reported on weekly and daily sales performance (Target vs. Accomplished), analyzing key metrics and indicators via Power BI. Directly supported the sales manager, tracking volume forecasts, and comparing projected vs. actual sales, ensuring alignment with business targets. Delivered training sessions and guidance to the commercial team, enhancing their ability to use reporting systems and analytical tools. Acted as the primary point of contact for business platforms, managing and optimizing data workflows within Mtrix, Accera, and SAP.