lboscan

• Modernized Globant's internal recruiting platform by leading a Python 2 to Python 3 migration across 30+ engineers and multiple parallel workstreams, decomposing a poorly structured monolith into Django and FastAPI microservices with React frontends and GitHub Actions CI/CD, cutting deployment lead time by 65% and substantially reducing maintenance overhead. • Redesigned banking workflows for Mexican fintech Yastas from a sequential, step-by-step processing model into an event-driven architecture using GCP Pub/Sub, FastAPI, and PostgreSQL on Cloud Run, enabling parallel execution of independent processes, introducing end-to-end monitoring, and reducing processing failures to near zero. • Delivered an LLM-powered internal productivity tool for CNN / Warner Bros Discovery using OpenAI APIs on AWS and GCP, connecting to internal Elasticsearch and PostgreSQL databases via custom tool integrations, enabling intelligent knowledge retrieval and cutting the time employees spent searching for internal information by 50%. • Eliminated a costly Celery worker fleet for an internal ML-heavy platform by migrating async workloads to AWS Lambda using Serverless Framework, Python, Django, and FastAPI, reducing queue wait times under peak load and cutting cloud compute costs significantly. • Championed testing best practices across all client projects using pytest, maintaining above 90% code coverage and reducing production bug rates by 35%, enabling the team to ship with confidence across concurrent client engagements. • Mentored 4+ engineers through weekly code reviews, pair programming, and architectural planning sessions, compressing PR review cycle time from 3 days to under 1 day and improving overall team delivery throughput.

• Migrated 50+ ETL pipelines from an on-premise Cloudera cluster to GCP (GKE, Cloud Functions, Pub/Sub, Cloud Composer/Airflow) using Terraform for infrastructure as code, delivering reliable data reporting across 7 LATAM countries (Argentina, Brazil, Chile, Colombia, Mexico, Peru, Uruguay) and eliminating on-prem maintenance costs for one of the region's largest retail chains. • Automated Airflow DAG generation for 50+ data extraction pipelines using Python and GCS, compressing new pipeline onboarding time from 2 days to under 2 hours and enabling the data team to self-serve integrations independently. • Replaced fragmented, ad-hoc SQL reporting with unified BigQuery analytics layers for business stakeholders across all 7 LATAM markets, improving data freshness from daily batch to near real-time and ensuring analytical consistency across countries. • Containerized all data workloads with Docker on GKE, achieving full development-to-production environment parity and eliminating a recurring class of environment-related deployment failures.

• Designed and delivered a compensation and payroll module (módulo de remuneración) that became one of the platform's most commercially successful features, handling complex remuneration logic for enterprise HR clients and directly contributing to new contract wins for the business. • Built training management, interview workflow, and electronic signature modules from scratch using Django, Celery, Redis, React, Redux, and PostgreSQL, expanding the platform's feature surface and enabling HCMFront to compete for larger enterprise contracts. • Developed custom dynamic dashboards and workforce analytics features using Django and React, giving HR teams and executives real-time visibility into headcount, performance, and compliance data, replacing entirely manual reporting processes. • Implemented system-wide audit logging and activity tracking across all customer accounts using Django and PostgreSQL, enabling compliance reporting and historical analysis that became a key differentiator in enterprise sales conversations. • Built internal Go microservices for performance-critical HR processing tasks, offloading high-frequency operations from the core Django application and improving overall system throughput. • Automated HR report generation and scheduled alerting with Celery and Django, eliminating 100% of manual reporting work for client HR teams and freeing significant operational time.

• Owned end-to-end delivery of a large-scale electronic invoicing system integrating with Lightspeed Retail and Lightspeed Restaurant POS platforms, designing the database schema, REST APIs, business logic, and frontend (Django, DRF, React, Angular), automating invoice generation across multiple retail clients and eliminating manual billing errors entirely. • Architected a centralized integration layer connecting multiple third-party POS systems to a single invoicing engine, enabling the company to scale its retail product offering across new clients without building per-client custom integrations. • Navigated a full frontend technology transition, delivering initially in Angular then migrating the product to React as it became the industry standard, maintaining uninterrupted delivery for the business while modernizing the entire frontend stack.

• Delivered 5 client projects across e-commerce, fleet tracking, and real-estate verticals for a digital agency using • Django, DRF, WordPress, and Shopify, directly expanding the agency's portfolio and enabling acquisition of new enterprise clients. • Built geospatial fleet tracking applications using Django and GeoDjango, implementing location-based data models and real-time utilities that provided clients with live vehicle visibility and operational control over their fleets. Developed a real-estate showcase application integrating 3D architectural models with a Django backend, creating an immersive property presentation experience that differentiated the agency's service offering in a competitive market.