Wallison Lucena

Student in São Paulo, Brazil

Contact me

Phone: +55 (18) 99743-6312

Professional Summary

Results-driven professional with 2+ years of experience designing scalable native data solutions in the cloud for enterprise financial systems. Proven track record in modernizing legacy workflows and delivering measurable business impact through automation and integration. Looking for international opportunities, preferably remote roles.

Skills

Cloud & Data Platforms:

Azure (Data Factory, Data Lake, Synapse), Databricks

Programming:

Python (PySpark), SQL, Lua

Data Engineering:

ETL development, Workflow Orchestration (Azure Data Factory, CI/CD), Delta Lake, Data warehousing, Data modeling, Data pipeline design

DevOps & Automation:

CI/CD Pipelines (Azure DevOps, GitHub Actions), Infrastructure as Code (IaC)

Data Quality & Validation:

Great Expectations, Automated data testing, Unit tests

Data Formats & Storage:

Parquet, CSV, Delta Lake, Excel

Visualization & Reporting:

Power BI

Languages:

Portuguese (Fluent), English (Fluent), Spanish (Conversational), Chinese Mandarin (intermediate)

Professional Experience

Data Engineer – CI&T, Brazil (Remote)
May 2022 – Present

• Designed and deployed 100+ scalable data pipelines in Azure Data Factory (ADF) to ingest SAP ERP and Dynamics AX data, leveraging incremental (date/CSV) and full-load strategies. Reduced data ingestion latency by 45% and improved pipeline reliability, supporting real-time analytics for 5+ business units.

• Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.

• Architected an unified financial ledger integrating SAP and AX data via Delta Lake, enabling cross-system reporting and shortening the monthly financial close cycle from 15 days to 1.5 days.

• Automated 10+ mission-critical financial reports (P&L, cash flow) using Python and ADF, replacing manual Excel workflows and slashing time-to-insight from 5 days to 2 hours.

• Implemented Great Expectations for validation across 20+ pipelines, coupled with real-time Teams alerts, accelerating incident resolution by 70% and ensuring 99.98% SLA compliance.

• Developed shared PySpark utilities adopted by 5+ engineers, accelerating project delivery by 20% and standardizing best practices

• Developed 11+ interactive Power BI dashboards for executive stakeholders, consolidating financial and operational KPIs (revenue, inventory turnover) and reducing ad-hoc reporting requests by 60%.