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I'm a data engineer with 4+ years of experience across the full data lifecycle across multiple industries, backed by 5+ years of prior experience in finance. I transform raw data into high-performance pipelines, scalable data models, and BI solutions that drive operational efficiency. I'm proficient in Python, Apache Spark, SQL, and the Microsoft Azure ecosystem, and I optimize processes to reduce execution times while delivering dashboards and models that empower decision-makers.…I'm a data engineer with 4+ years of experience across the full data lifecycle across multiple industries, backed by 5+ years of prior experience in finance. I transform raw data into high-performance pipelines, scalable data models, and BI solutions that drive operational efficiency. I'm proficient in Python, Apache Spark, SQL, and the Microsoft Azure ecosystem, and I optimize processes to reduce execution times while delivering dashboards and models that empower decision-makers.

Alejandro Camerlengo

Data Scientist, Data Analyst, Data Visualizer, +1

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I'm a data engineer with 4+ years of experience across the full data lifecycle across multiple industries, backed by 5+ years of prior experience in finance. I transform raw data into high-performance pipelines, scalable data models, and BI solutions that drive operational efficiency. I'm proficient in Python, Apache Spark, SQL, and the Microsoft Azure ecosystem, and I optimize processes to reduce execution times while delivering dashboards and models that empower decision-makers.…I'm a data engineer with 4+ years of experience across the full data lifecycle across multiple industries, backed by 5+ years of prior experience in finance. I transform raw data into high-performance pipelines, scalable data models, and BI solutions that drive operational efficiency. I'm proficient in Python, Apache Spark, SQL, and the Microsoft Azure ecosystem, and I optimize processes to reduce execution times while delivering dashboards and models that empower decision-makers.

Available to hire

I’m a data engineer with 4+ years of experience across the full data lifecycle across multiple industries, backed by 5+ years of prior experience in finance. I transform raw data into high-performance pipelines, scalable data models, and BI solutions that drive operational efficiency.

I’m proficient in Python, Apache Spark, SQL, and the Microsoft Azure ecosystem, and I optimize processes to reduce execution times while delivering dashboards and models that empower decision-makers.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Spanish; Castilian

Fluent

English

Advanced

German

Beginner

Work Experience

Data Engineer (Consulting) at Siemens Advanta

February 1, 2025 - November 4, 2025

ETL pipelines in Databricks processing billions of records in seconds using Spark, Python, and SQL, optimizing Spark DAGs with data partitioning and incremental processing strategies to reduce runtime. Build production pipelines integrated with Azure Data Factory and Blob Storage to automate large-scale data workflows across environments. Develop 30+ financial Power BI reports using star-schema data models and DAX measures for Fortune 500 consumer goods clients.

Data Scientist (Fraud & Pricing) at Ab Inbev

January 1, 2025 - January 1, 2025

Owned and maintained fraud data infrastructure across LATAM, building 25+ production pipelines in Databricks and Snowflake to process millions of weekly transactions and reduce processing time from hours to seconds. Created fraud Power BI dashboards for C-suite and country leaders across LATAM. Built fraud detection models (e.g., Isolation Forest) that increased detection accuracy and improved profitability by up to 3% in the most fraudulent markets. Designed and executed pricing optimization experiments (A/B tests, RCTs), boosting sales volume by up to 0.5% in main markets.

Data Scientist (Corporate Finance) at Lumen Technologies

July 1, 2023 - July 1, 2023

Built 10+ ETL pipelines with Talend, Python, and SQL to feed and automate Power BI dashboards and reporting systems serving 50+ stakeholders across finance and leadership. Forecasted payments and estimated default risk using Random Forests; modeled cash flow with regression techniques to deliver reliable projections for financial planning. Applied NLP on exit surveys with NLTK and spaCy to identify attrition drivers, enabling HR to design retention policies beyond monetary incentives.

Quantitative Analyst (Algorithmic Trading) at Balanz Capital

October 1, 2021 - October 1, 2021

Developed and backtested trading strategies using Python and LSTM models, creating predictive strategies for Argentine and U.S. markets. Built advanced visualizations (volatility surfaces, smiles) for traders decision-making using Plotly and Seaborn.