Murillo Sezerino

Analytics Engineer · Data Engineer
Brazil (GMT-3, full overlap with US business hours) · Remote
contato@murillosezerino.com · murillosezerino.com · linkedin.com/in/murillosezerino · github.com/murillosezerino

Summary

Over 10 years across finance, credit and logistics (Antigua, CooperJohnson, Loggi, Stone and PagBank) and 4 years applying SQL and Python to operational data. I build data pipelines, dimensional models and data APIs. I worked with delinquency, portfolio risk, delivery SLA and churn before I worked with pipelines.

Skills

Languages and query: Python, SQL

Transformation and modeling: dbt, dimensional modeling (star schema), data quality and testing, Parquet

Databases and warehouse: PostgreSQL, DuckDB, BigQuery

Serving and infrastructure: FastAPI, REST APIs, Docker, GitHub Actions (CI/CD)

Analytics: Pandas, Power BI, scikit-learn

Experience

Analytics Engineer · CZ Lab (independent consultancy)
2022 to present · Remote

Clients in logistics, retail and services

  • Design and implement ETL pipelines in Python and SQL, automating collection, transformation and loading of operational data.
  • Build REST APIs with FastAPI and analytical dashboards, with serverless deploy and CI/CD on GitHub Actions.
  • Deliver complete applications (Next.js and FastAPI) running in production for real clients, from the data layer to the interface.
Sales Executive · PagBank
06/2021 to 01/2022 · São José dos Campos, Brazil

Portfolio of 180 business clients, with transactional analysis, churn and retention

  • Segmented the portfolio by transactional behavior for commercial prioritization, using usage and billing data.
  • Mapped churn drivers from cancellation data and acted on retention measures.
  • Built delinquency and profitability dashboards in Power BI, used in the routine portfolio review.
Logistics Analyst · Stone
01/2020 to 12/2020 · Vale do Paraíba, Brazil

Delivery operations: SLA, inventory and operational KPIs

  • Raised SLA compliance through bottleneck analysis in the delivery flow and route restructuring.
  • Improved inventory accuracy with audit routines and continuous KPI monitoring.
  • Automated operational performance reporting, consolidating the indicators of the operation.
Business Analyst · Loggi
07/2018 to 12/2019 · São José dos Campos, Brazil

Bridge between operations, business and technology. First hands-on work with ETL

  • Automated ETL flows for operations and logistics data, migrating manual spreadsheet processes to SQL and Python.
  • Ran route optimization tests with gains in delivery efficiency.
  • Led a team as the interface between operations, business and technology.
Financial and Credit Analyst · Antigua and CooperJohnson
2012 to 2018 · São Paulo, Brazil

Portfolio risk, delinquency and financial controls

  • Automated portfolio control for 112 clients, reducing processing time by 60%.
  • Built automated financial controls and KPI reports (delinquency, adoption, satisfaction) for the board.
  • Identified 8 delinquency risk factors that informed changes in credit policy.

Projects

Retail Data Platform (in progress, expected September 2026)
End-to-end analytical pipeline: incremental ingestion, Airflow orchestration, dbt from staging to marts (tests, docs and lineage), warehouse and dashboard.
github.com/murillosezerino/commerce-intelligence

etl-pipeline
Multi-source ETL in Python with status normalization, UTC date parsing, Haversine distance calculation, a data quality gate and incremental partitioned Parquet loads to object storage. Tested with pytest, CI on GitHub Actions.
github.com/murillosezerino/etl-pipeline

credit-scoring
Default prediction with a calibrated LightGBM in serving and a stacking ensemble (XGBoost, LightGBM, CatBoost, Random Forest) in the study, with SMOTE and SHAP explainability. AUC near 0.80 on the public Kaggle dataset, served through FastAPI and Docker.
github.com/murillosezerino/credit-scoring

Education

Associate Degree in Financial Management · ETEP · 2014 to 2016 (completed)

Executive MBA in Business Analytics and Big Data · FGV · 2020 to 2024 (completed)

B.Sc. in Computer Science · UNICSUL · 2025 to 2029 (in progress)

Certifications

Google Data Analytics Professional Certificate · Coursera (in progress)

AWS Cloud Quest: Cloud Practitioner (training badge)

AWS Educate: Introduction to Generative AI (badge)

Languages

Portuguese (native) · English (advanced) · Spanish (basic)