Open to opportunities

Marcos Samuel

@marcossamuel

Message

I build scalable data pipelines, analytics platforms, and machine learning solutions for business impact.

Brazil

Message

What I'm looking for

I'm looking for an environment with diverse challenges where I can deliver new impact across business areas, keep learning, and use data to drive results.

I'm building scalable ETL pipelines and single-source-of-truth tables for DoorDash through CriticalRiver, using Databricks, Spark, Snowflake, Python, and Airflow. My work gives analytics teams refreshed, reliable data for modeling, experiments, LLM inputs, and dashboards.

I've migrated Snowflake DAGs to Databricks with Airflow, GitHub CI/CD, and data testing, achieving at least 20% cost savings. I've also optimized SQL queries to reduce runtime by 40% and delivered ad hoc ETLs across Google Sheets, Snowflake, and S3.

At TEx and Propz, I developed insurance pricing, recommendation, and chatbot solutions; built Azure, Databricks, Spark, MongoDB, and MySQL workflows; and created Spark Scala analytics for Carrefour, LeBiscuit, and Ipiranga. Earlier at Urban Science, I designed SQL data pipelines and network-performance analytics for automotive clients including Nissan Brazil, Audi, and FCA Argentina.

I'm motivated by diverse challenges, continuous learning, and using data to create impact across business areas.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

CriticalRiver Inc.

May 2023 - Present (3 years 3 months)

Working as a Data Engineer to DoorDash Company, creating scalable pipelines and Single Source of Truth Tables using Databricks, Spark, SQL Snowflake, and Python on Airflow. Migrated ETLs from Snowflake to Databricks, achieving at least 20% cost savings, and performed SQL query optimizations reducing run time by 40%.

Databricks Spark SQL Snowflake Python Airflow ETL Data Modeling Data Quality Sigma GitHub CI CD

Data Scientist | Data Engineer

TEx

Nov 2021 - May 2023 (1 year 6 months)

Implemented a deductible pricing machine learning model using random forest in Azure ML Studio, developed APIs using Azure API Management, and created a recommendation model using client clustering. Raised a Databricks with Spark environment inside Azure and created a chatbot using Power Virtual Agent and Power Automate.

Machine Learning Azure ML API Management Databricks Spark Python MongoDB MySQL Power Virtual Agents Power Automate PowerShell

Data Scientist | Data Engineer

Propz

Sep 2020 - Oct 2021 (1 year 1 month)

Monitored, supported, improved, and refactored notebooks in Spark Scala for offer recommendations for Carrefour customers. Implemented measurement notebooks for thematic campaigns, conducted cohort analysis for LeBiscuit, and implemented Apache Superset panels for Churn, contribution margin, and LTV for AbasteceAí - Ipiranga.

Spark Scala Snowplow Apache Superset Data Analysis Cohort Analysis ETL

Data Analyst | Data Engineer

Urban Science

Oct 2014 - Sep 2020 (5 years 11 months)

Designed and implemented SQL-based data pipelines for Nissan Brazil market data, automated dealer performance management processes, and collaborated with international teams. Conducted network planning analyses for automotive brands and created demographic and performance-based insights.

SQL SQL Server Excel Data Pipelines Data Analysis Network Planning Data Quality

Information Technology Technician

Brazilian National Bank - Caixa Economica Federal

May 2010 - May 2013 (3 years)

Extracted and processed information on urban conurbation using SQL, assisted in implementing a new networks contract, and managed the process of receiving, validation, and treatment of Toll-Free bills.

SQL Data Processing Network Contracting Toll Free Billing

Education

Degrees, certifications, and relevant coursework

FIAP

MBA, Data Science

2017 - 2018

Post Graduate in Big Data MBA, Data Science. Focused on implementing Big Data projects, using appropriate tools, generating business insights, and identifying competitive advantages.