Rafael Albino Email & Phone Number

- Led the development and maintenance of comprehensive ETL and data ingestion pipelines on AWS for Bemobi's solutions (end-to-end customer engagement platform (SaaS) in payment solutions for Telecom, Utilities, and other industries), significantly enhancing more than 100TB data processing efficiency and reliability across 50+ countries using Airflow and Spark.- Designed and implemented scalable data pipelines using Python, PySpark, and SQL, extracting data from diverse sources to a centralized data lake, enhancing data availability for analytics and business intelligence.- Spearheaded cost optimization and performance enhancement initiatives within AWS (ECS, EC2, EMR, Glue, Redshift, RDS, Lambda, S3), markedly improving data processing speed and reducing operational costs.- Acted as the lead engineer for the seamless migration of data pipelines from acquired companies, ensuring zero downtime, and maintaining data integrity. Successfully integrated more than 200GB/day pipelines within 10 months.- Developed and maintained CI/CD pipelines and using Terraform (IaC), improving deployment efficiency by 87,5% and reducing manual errors.- Collaborated with Data and Business areas to refine data tables and deliverables, enhancing data-driven decision-making. Providing data accessibility to non-technical partners of more than 20TB.- Led the initiative for real-time data processing and streaming, employing technologies like Kafka and pub-sub mechanisms, which enabled real-time analytics and supported business operations with timely insights.- Worked closely with cross-functional teams to translate business requirements into scalable data engineering solutions, directly contributing to acquired companies' projects, and enhancing customer data access through APIs and documentation.- Mentored junior data engineers, fostering a culture of technical excellence and continuous learning within the team, which led to enhanced productivity and streamlined onboarding processes.

Rio De Janeiro, Rio De Janeiro, Brasil

- Led the development of a data-driven culture within the HR department of the 9th largest telecommunications company in the world, employing maturity development methodologies, impacting over 400 employees.- Implemented a makeshift Data Warehouse in the HR department using PowerBI and other Microsoft tools for report generation, reducing report creation time from 1 week to 1 click.- Led cross-functional teams including Data Analytics, Analytics Engineer, and Data Engineer to establish data process standardization and understanding within the department, enhancing data optimization and reliability.- Developed the Data Warehouse project on AWS to phase out non-automated processes, automating report generation and information dissemination within the department.- Led a research group focused on Data Science projects in HR, specifically studying talent turnover reduction, resulting in a decrease in talent loss.- Coordinated the assessment of data maturity levels for all department employees through surveys and questionnaires, aimed at positioning professionals on a data learning path, thereby fostering an increase in data culture maturity.

- Creation of the Marketing Department's Data Warehouse for the world's 3rd largest education company. This initiative formed the Marketing Intelligence (Martech) area to enhance insights generation and analysis speed.- Integration of over 40 Google Ads, Facebook Ads, and Google Analytics accounts through APIs extractions and Marketing OFF for querying in the data warehouse, created optimization and automation of analyses.- Development of a customer enrollment funnel structure, from initial contact to classroom entry, resulting in the consolidation of over 10 query sources into a single location and enabling real-time process tracking.- Integration of the marketing funnel with the sales funnel through tags for Ads and CRM interaction, yielding ROI and Ads conversion rates.- Creation of dashboards for visualizing all marketing and sales conversion processes, ensuring data reliability, analysis speed, and automation through data warehouse connectivity, eliminating the previously manual process that took over 8 hours to a single click.- Implementation of NLP algorithms for sentiment analysis and text categorization in surveys and orders from students and parents, enabling analysis of an otherwise unmanageable volume of texts, pinpointing areas for improving customer experience with the brand.- Conducted workshops on data analysis focusing on statistics, data visualization, and insights generation to maximize the utility of generated data.- Migration of the on-premise Microsoft data warehouse structure to Azure due to the need for expansion and optimization, resulting in the adoption of Spark.

Rio De Janeiro, Rio De Janeiro

- Leadership in modernizing the production structure of journalism for the largest media conglomerate in Latin America, analyzing current negative points and implementing improvements to enhance the interaction between technology and journalism.- Optimization of the new production structure through analysis of data from the old structure, utilizing logs and resource allocations. This resulted in reduced resource usage and cost savings on equipment purchases.- Leadership of the technical operations and data analysis team, fostering a data-driven culture for more efficient resource utilization within the department.- Automation of manual trigger equipment using ETL and RPA tools, leading to smoother operations and improved execution time for the team.- Improvement of processes at the intersection of technology and journalism, analyzing interaction data between departments to implement preventive measures.

Rio De Janeiro E Região, Brasil

- Spearheaded the creation, ongoing maintenance, and continuous improvement of the Technology department's activity reports, serving as a cornerstone for performance analysis and strategic planning.- Implemented robust data analysis practices aimed at optimizing departmental activities, identifying inefficiencies, and recommending actionable improvements.- Developed and implemented key performance indicators (KPIs) for both the department and its equipment, providing a clear framework for measuring success and identifying areas for improvement.- Conducted thorough analysis of existing problems, leading to the development of targeted actions designed to address issues in the short, medium, and long term, thus enhancing overall departmental efficiency.- Proactively monitored the useful life of critical equipment, implementing strategies to prevent obsolescence and breakdowns, ensuring continuous operation and service excellence.- Utilized a comprehensive skill set including Big Data analytics, Agile methodologies, SQL, PowerBI, and broadcast engineering to drive data-driven decision-making and operational improvements.- Led the planning and execution of significant projects for channels and streaming platforms, enhancing the company's digital media presence and audience engagement.- Designed and instituted new processes to streamline operations within the Technology department, improving agility and responsiveness to business needs.

Rio De Janeiro E Região, Brasil

Rio De Janeiro E Região, Brasil

- Led the comprehensive management of the Engineering area's system databases, ensuring data integrity, security, and accessibility.- Spearheaded system updates and optimizations, contributing to enhanced system performance and reliability.- Directed the planning and execution of projects focused on improving channels and streaming platforms, significantly enhancing content delivery and audience engagement.- Provided crucial support for production and post-production processes, ensuring high-quality output and operational efficiency.- Innovated the creation of detailed reports, featuring critical KPIs for both areas and equipment, aimed at internal control and providing senior management with actionable insights.- Implemented a monitoring system for tracking problems and activities within the Engineering area, enhancing operational visibility and accountability.- Developed a sophisticated problem-reporting framework, enabling the identification and documentation of issues for resolution in the short, medium, and long term.- Conducted in-depth data analysis to support Technology and Business areas, facilitating data-driven decision-making and strategic support.

Rio De Janeiro E Região, Brasil

Rio De Janeiro E Região, Brasil

Financial management of the company; Creation and operation of expense control spreadsheets, profit and parts prices; Choice of the best sales platforms; Contact between company and customer; Search for new solutions.

Rio De Janeiro E Região, Brasil

Article published at the 2016 MOMAG Congress and presented in plenary; Presentation at an Innovation seminar; Development of a low-cost 10MHz Free Space Optics (FSO) transceiver; Conducted studies on the interference of atmospheric turbulence in FSO communication systems.

Bachelor Of Applied Science - Basc, Telecommunications Engineering

Activities and Societies: Scientific Study at LaCOp (Laboratory of Optical Communications) with article publications at MOMAG and V.

Nanodegree, Data Analyst

Nanodegree Program Fundamentals of Data Analysis using Excel, SQL and Tableau.