Camilo Cabrera

Data Engineering Leader with 10+ years of experience structuring, financing, and executing business projects using data engineering techniques across multiple sectors such as Real Estate, Retail and Finance industries. Previous experience managing data engineering teams that processed +10 billion daily data points generated by +500 Internet of Things (IoT) systems using Python. Applied statistics, advanced analytics models and machine learning techniques (Supervised and unsupervised, NLP) to transform raw data into real-time dashboards to report data insights, negotiate high-ticket real estate deals, design marketing campaigns, create strategic content and supply +6000 leads into business. In addition, implemented +40 Robotic Process Automation (RPA) solutions for businesses automating more than +1500 hours of analyst work a year; and successfully led the 85% reduction of reporting time and the automation of +26 business processes from +14 active data sources. Proven track record on client relationships and delivering data-driven insights to key stakeholders, translating complex data engineering concepts into actionable strategies that maximize business impact and achieve ambitious goals. 

My technological stack includes: DBT, Airbyte, AirFlow, Google DataFlow, Jenkins, Python, Git, BigQuery, Confluent Kafka, PostgreSQL, Looker (Data) Studio, GSuite (GDocs, GSheet, GSlides), Open StreetMaps, Google My Maps and Ubuntu Linux Instances in cloud platforms like GCP, AWS and DigitalOcean.

During my tenure as a Data Engineering Leader at Kiwi Campus Inc, I designed and constructed Python-based data pipelines adhering to software engineering practices, reducing reporting time by 85% through efficient handling of 10 billion daily data points from 500+ robots across 14 sources. At Fidelio Digital, I led the creation of 40+ Robotic Process Automation solutions, analyzed +1 billion messages using NLP, and developed data pipelines for real estate deals and Covid-19's E-commerce impact. As a Data Engineering Consultant, I structured 281 tables for a government agency's Regional Information System and integrated Information Systems using SAS, R, and SPSS. In my role as Head of Data Engineering at Ikonosoft S.A.S., I crafted data products, implemented statistical models for team performance tracking, and reduced BI costs by 40%. As a Big Data Engineer at eCGlobal/eCMetrics, I automated 100+ market research reports. My expertise spans data architecture, automation, NLP, and system integration.

I hold a Master of Science (MSc) in Industrial Engineering from Andes University, completed in March 2015, and a Bachelor of Industrial Engineering from the same institution, attained in March 2013. To complement my education, I've pursued a range of certifications and courses, including achieving Data Scientist with Honors from Correlation One & MinTIC in November 2020, and obtaining Advanced Robotic Process Automation, Robotic Process Automation (RPA) - Orchestrator, RPA Business Analyst, RPA Implementation Methodology, and RPA Awareness Training certificates from UiPath in 2019. Notably, I've been recognized as a finalist in the Effie Awards Colombia 2020 for an E-Commerce Campaign and have contributed to the Fidelio Covid19 Latam E-Commerce Impact Report in collaboration with PayU.