Matheus Silveira Email and Phone Number

Languages: Python, SQLMain Stack: Databricks, Spark, AirflowOther tools: Git, Gsheets, Excel, AWS S3New York-based company and one of the most established sources of alternative data from publicly traded companies.- Revamped an ETL Pipeline that brings in $1MM+ of ARR for one of the company’s main products (Databricks, SQL, Spark)- Handles daily data QA processes for data products that are worth $5MM ARR collectively. (Databricks, SQL, Spark)- Optimized existing data pipelines, cutting processing time across the board (Databricks, Spark)- Automated manual excel processes inside of databricks, minimizing errors and ensuring data stability (Databricks, SQL, Spark)

Languages: Python, SQL, ScalaMain Stack: Databricks, Git, Pentaho, AWS S3, AWS Redshift, Metabase, Spark, MongoDBOther tools: Power BI, Docker, Airflow, dbt, R, HubspotFinancial Startup focused on providing banking services to accountants- Structured, modeled and maintained the database\data warehouse of one of the company’s main financial ventures, which generated approximately $ 150,000 in revenue with an average operational growth of over 20% per month.- Built the company’s most important commercial operations data pipeline. Which proved invaluable in enabling the commercial team to monitor daily operations and generate insights for management - Built a variety of dashboards in the company's Data Visualization Tool with the objective of providing valuable insights for shareholders. - Performed data scrapping from a variety of sources (e.g Google Sheets, xml, json, html, api)- Created, orchestrated and deployed a variety of ETL/ELT processes- Structured and Mantained the company's first financial data warehouse

Languages: Python, SQL, Main Stack: PowerBI, R, MongoDBOther tools: Airflow, ROne of the largest energy trading companies in Brazil- Extracted data from various sources (PDF/XML/JSON/CSV).- Monitored and Analysed KPIs for the compan.- Participated in the development of a platform providing general financial solutions as a member of the data team.- Assisted in the design of new financial solutions for the company.- Conducted weekly presentations on the economic landscape to managers.

- Conducted economic and financial modeling of company projects through Excel to evaluate their feasibility.- Helped structure the company's Stock Options program through benchmarking.- Monitored relevant macroeconomic indicators (both nationally and internationally).- Structured and monitoring factoring operations.