Lucas Emerick Rodrigues

Lucas Emerick Rodrigues email:- linkedin: in/lucasvemerick/ github: lvdopqt website: lucasemerick.com Backend & Data Engineer with over a decade of professional experience designing, building and maintaining scalable, high‑performance systems. My work spans real‑time data pipelines that process large volumes of events daily to power analytics dashboards and streaming tools for both end users and internal teams. I develop APIs and microservices in Python, C++ and Go, and deploy them on cloud platforms using Infrastructure as Code and container orchestration. Passionate about system observability, performance tuning and resilience engineering, I deliver clean, maintainable solutions across web applications, distributed systems, data workflows and embedded projects. EMPLOYMENT HISTORY Data Engineer, Conatus (Nov 2018 — Present) ●​ Developed systems to collect, process, and visualize real-time data from sources like Twitter, Facebook, Instagram, news feeds, and public datasets, supporting presidential, state, and municipal campaigns. ●​ Automated reporting and analysis workflows, reducing manual effort by over 15 hours per week and increasing the frequency and clarity of insights. ●​ Used Pandas to clean, transform, and aggregate social media or performance data before visualization. ●​ Built and scheduled Airflow DAGs to orchestrate data ingestion from public APIs, and trigger alerts (e.g., government, social media). ●​ Enabled data-driven strategies by delivering live dashboards and alerts that enhanced agility in high-stakes campaign environments. Back-End Software Engineer, Voxy (Jan 2022 — Dec 2024) ●​ Developed streaming services delivering audio/video lessons to tens of thousands of monthly users. ●​ Designed data pipelines handling over 1 million language exercise records per month. ●​ Built and maintained Apache Airflow DAGs to automate daily aggregation of student scores and teacher performance metrics across millions of learning interactions. ●​ Integrated large language models for personalized curriculum suggestions, boosting student engagement and cutting manual content curation time by about 30%. ●​ Implemented Infrastructure as Code (Terraform) and CI/CD workflows, eliminating manual provisioning steps and reducing build failures. Full-Stack Developer, FELUMA (Oct 2020 — Jan 2022) ●​ Led the design and maintenance of a remote‑testing platform used by dozens of institutions and hundreds of students per exam, ensuring >99% uptime during assessment windows. ●​ Developed interactive dashboards and performance‑analytics interfaces that gave instructors on‑demand insights, cutting report‑generation time by over 50%. ●​ Designed and orchestrated video proctoring data pipelines using Airflow, automating the processing of video metadata, session logs, and anomaly detection flags across hundreds of student sessions per exam. Data Engineer, Urissanê Comunicação (Jul 2018 — Oct 2020) ●​ Built and maintained large-scale data infrastructure to support presidential, state, and municipal campaigns, focusing on public datasets and social media APIs. ●​ Developed ETL pipelines integrating data from government portals, social platforms, and media outlets, ensuring consistent and reliable ingestion for analytics. ●​ Implemented Elasticsearch-based indexing and search systems that enabled fast querying across millions of records, supporting strategic communications and rapid-response operations. ●​ Collaborated with analysts and campaign staff to translate data needs into scalable backend solutions, improving visibility and access to critical information during key electoral periods. Data Engineer Researcher - FAPEMIG (Jul 2017 — Jul 2018) ●​ ●​ ●​ ●​ Designed and implemented the "Technoscience Barometer," a system that used machine learning to classify and analyze science-related content from Ibero-American media sources. Trained a neural network to detect patterns in journalistic coverage of science and technology, improving the consistency and precision of content categorization. Contributed to more effective science communication by providing structured insights into how scientific topics were represented in the media. Collaborated with researchers and public institutions to translate data findings into actionable outreach strategies. Industrial Automation Technician, Tecwise (May 2011 — Jan 2013) ●​ ●​ ●​ ●​ Programmed and installed over 20 embedded automation and telecommunication systems for clients such as Vale, Petrobras, and Braskem. Configured PLCs and Cisco/Elpro RF equipment to streamline signal transmission. Developed control routines in C/C++, Python, and Ladder logic that automated instrumentation and calibration workflows. Coordinated on‑site deployments with cross‑functional teams. EDUCATION Postgraduate Certificate in Autonomous Systems Engineering​ Pontifícia Universidade Católica de Minas Gerais (PUC Minas), Mar 2025 – Apr 2026 Technical Degree in Industrial Automation​ Colégio Padre de Man, Jan 2009 – Jan 2011 Bachelor's Degree in Anthropology​ Federal University of Minas Gerais (UFMG), Jan 2015 – Jan 2021 TECHNICAL SKILLS Programming Languages​ Python (advanced), Go (proficient), C++ (proficient), JavaScript (advanced), Bash (proficient) Back-End Development & APIs​ FastAPI, Django, Flask, Gin, REST APIs, Web development, CI/CD, Automated testing, Data modeling, HTTP, WebSockets Data & Visualization​ SQL (advanced), Elasticsearch (advanced), Pandas, Polars, Numpy, Tensorflow, Keras, Power BI, Data visualization, Large Language Models (LLMs), Fine-tuning, Apache Airflow, Infrastructure & Cloud​ Docker, AWS (S3, EC2, Lambda, SNS, SQS, Fargate, etc.), Kubernetes, Data orchestration, Cloud computing Monitoring & Observability​ Grafana, Kibana, Logging, Metrics, Alerting Environment & Version Control​ Linux, Git LANGUAGES Portuguese ( Native ) , Eglish ( Advanced )