Carlos Ávila
@carlosvila
Gen AI and Data Engineer building reliable pipelines, AI agents, and automated reporting that cut manual work fast.
What I'm looking for
I’m a Gen AI Engineer / Data Engineer focused on turning messy data into dependable workflows—and then using LLMs to automate real business outputs. I lead delivery and architecture decisions across analytics and backend data projects, optimizing for consistency, maintainability, and fast onboarding.
In my current role, I’ve standardized data pipeline practices and built end-to-end solutions that centralize reporting (including ROI normalization into HubSpot) and automate recurring “PIR” creation. I also streamlined presentation delivery using a toolchain that combines ChartJS, Jinja, Selenium, and OpenCV, reducing manual reporting time from hours to minutes.
Across backend and data engineering roles, I’ve designed ingestion and processing systems such as Kafka consumers streaming into Neptune DB and export pipelines to Amazon S3. I’ve also improved performance and reliability through load testing (Locust), query/report optimization, and careful service ownership across microservices.
My approach blends strong engineering fundamentals with practical AI implementation—building RAG workflows and evaluated text-generation agents using LangChain/LangSmith and production APIs. I’m happiest when I can own architecture, automate operations, and deliver measurable impact across teams.
Experience
Work history, roles, and key accomplishments
GenAI & Data Engineer
GoldenBlacklLLama
Apr 2025 - Present (1 year 1 month)
Owned delivery and architecture for CSM data search and reporting across two analytics workflows. Built standardized data pipelines, centralized ROI reporting in HubSpot (reducing manual updates ~70%), and automated PIR generation in Sheets/Slides while cutting manual presentation setup effort through end-to-end tooling and scrapers.
Data Engineer & Backend Dev
GoldenBlacklLLama
Jul 2024 - Apr 2025 (9 months)
Engineered backend and data pipelines to centralize content metadata and improve downstream consistency and integration. Built Neptune-to-Amazon S3 JSONL exports, Kafka ingestion into Neptune, Locust load-testing, and knowledge-graph ontology expansion to improve coverage and entity linkage.
Data Engineer & Backend Dev
AlphaPoint
Jan 2022 - Feb 2024 (2 years 1 month)
Generated and automated fraud-detection and activity-overview reports for Chivo Wallet (4.6M+ users). Built dashboards and monitoring pipelines using New Relic, Grafana, Python, Pandas, CSVs, and SendGrid, and supported high-volume reporting via MySQL and SFTP integrations.
Data Engineer & Backend Dev
Rever
Jan 2021 - Jan 2022 (1 year)
Designed and operated an Elasticsearch + Kafka-backed data lake and reporting microservices to accelerate access to operational data. Refactored the Reports Service early, added English/Spanish/Portuguese support, and reduced the Insights report load time to one-third of the prior duration.
Backend Python Developer
GoExpedi
Apr 2020 - Dec 2020 (8 months)
Built Django models, APIs, and backend modules supporting core platform functionality. Implemented dynamic Django forms and marketing banners, updated Jinja templates, and fixed bugs to accelerate feature delivery.
Backend Python Developer
ContractRoom
Nov 2018 - Apr 2020 (1 year 5 months)
Remodeled the reporting process by adding an Elasticsearch preprocessing stage and persisting preprocessed outputs to MongoDB. Developed configurable Django and Sanic APIs (JWT, Swagger) for preprocessing-api and agreement-express-api using JSON configuration via an API endpoint.
Collaborated on the HomeAway/Expedia MarketMaker project focused on backend data engineering. Built Sanic APIs, Kafka producers/consumers, and Spark jobs feeding a Booking Probability Model, and supported data migrations and monitoring via Datadog and CloudWatch.
Data Engineer / Backend Developer
ByPrice
Aug 2017 - Nov 2017 (3 months)
Worked with the CTO and data scientist to build data extraction and backend services for a startup. Developed scrapers for price/product/store information, created Flask APIs backed by Postgres, and set up monitoring using Datadog and CloudWatch.
Education
Degrees, certifications, and relevant coursework
Carlos hasn't added their education
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Availability
Location
Authorized to work in
Portfolio
github.com/CEAC33Job categories
Skills
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