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Diane Santos

@dianesantos

Data Engineer at GFT Technologies, currently working as a tech lead in the bank sector after delivering data pipelines and QA processes.

Brazil

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At GFT Technologies, I currently work as a tech lead in the bank sector. Before that, at IHS Towers, I implemented and maintained data pipelines to support data quality, availability, and performance across LATAM.

At REPAY - Realtime Electronic Payments, I worked on developing and implementing a Data QA process for ingestion pipelines and large-scale analysis. I used Apache Airflow, Databricks, Pydeequ, and Python.

Earlier, I worked on analytical products and data architecture projects at Quod, and on software testing at LexisNexis Risk Solutions and IBM. My work has included data quality monitoring, reporting and visualization, and manual and automated testing.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

GFT Technologies

Oct 2025 - Present (1 year 1 month)

Currently working as a tech lead in the bank sector.

Data Engineer

IHS Towers

Sep 2023 - Sep 2025 (2 years)

Implemented and maintained data pipelines to ensure quality, availability, and performance across LATAM, utilizing MS Azure Data Factory, Databricks, Power BI, SQL, and Python within a BPM framework. Collaborated with cross-functional teams to deliver reliable data solutions and insights for decision-making.

Azure Data Factory Databricks Power BI SQL Python BPM Data Pipelines Data Quality Data Visualization

Data Engineer

REPAY - Realtime Electronic Payments

Jan 2023 - Apr 2023 (3 months)

Developed and implemented a new Data QA process for data ingestion pipelines and massive analysis, using Apache Airflow, Databricks, Pydeequ, and Python. Used Git for version control and Agile methodologies such as Scrum.

Airflow Databricks PyDeequ Python Git Scrum Data QA Data Pipelines

Data Specialist

Mar 2022 - Dec 2022 (9 months)

Supported Global Sales OPs teams, focusing on key performance indicators (KPIs), data visualization, and report generation to ensure smooth functioning of CI/CD pipelines. Enhanced data-driven workflows through process improvement initiatives while maintaining company documentation best practices.

MySQL Hadoop Python Power BI CI CD Data Visualization KPI Reporting Documentation

Senior Data Analyst

Quod

Feb 2019 - Mar 2022 (3 years 1 month)

Led data architecture projects, including metadata capture, data cube aggregation, KPI generation, data visualization, and report creation. Utilized HPCC systems platform and ECL, integrating with PowerBI and R Studio, and contributed to back testing and analytical product development.

HPCC ECL Power BI RStudio Data Architecture Data Visualization KPI Generation Backtesting Documentation

Software QA Analyst

LexisNexis Risk Solutions

Apr 2018 - Feb 2019 (10 months)

Served as ScrumMaster for Quod's project QA team, focusing on Cadastro Positivo in Brazil. Planned, maintained, created, and executed various tests (Unit, Functional, Integrated, Exploratory, Performance) covering ETL processes and big data HPCC integrated systems, using manual and automated scripts in ECL, Python, and Shell.

Scrum Agile ECL Python Shell ETL Testing Big Data HPCC Testing Automation Root Cause Analysis

Software QA Analyst

IBM

Dec 2013 - Mar 2018 (4 years 3 months)

Collaborated with cross-functional teams in Brazil, USA, India, and Mexico, planning, creating, and executing various tests (Unit, Functional, Regressive, Integration, Exploratory) for backend and frontend systems. Validated applications, web interfaces, SOA apps, and XML Schemas, using HP QTP and Selenium for automation and SQL for data retrieval.