Michelantonio Strippoli

About

Backend & Cloud Engineer specializing in building scalable SaaS platforms, high‑availability APIs, and distributed systems. I focus on designing backend architectures that are reliable, maintainable, and cost‑efficient — especially in multi‑tenant environments. With 5 years of experience across Python (Django, FastAPI, Flask), PostgreSQL, and AWS, I’ve led the development of cloud‑native applications, async processing pipelines, and CI/CD automation that support real‑world business operations. I enjoy taking complex backend logic and turning it into clean, production‑ready systems with strong observability and operational safety. My cloud background includes AWS Solutions Architect & Developer Associate certifications, hands‑on work with serverless, containerized workloads, Multi‑AZ deployments, and infrastructure automation. I’m comfortable owning backend systems end‑to‑end — from architecture and data modeling to deployment and monitoring. Core strengths: • Python backend development (Django, FastAPI, Flask) • SaaS architecture & multi‑tenancy • High‑availability API design • Distributed systems & async processing (Celery) • AWS cloud architecture (certified SA + Developer) • CI/CD automation (GitHub Actions) • PostgreSQL, PostGIS, Redis • QGIS plugin development (geospatial analysis) I’m currently focused on backend engineering roles where I can design scalable systems, improve cloud reliability, and contribute to long‑term product architecture.

Experience

• Back End Developer · Indiva SaaS2022-07-01 –

  ARCHITECTURE & BACKEND ENGINEERING • Designed and implemented a multi‑tenant SaaS architecture in Django + PostgreSQL, enabling onboarding of multiple clients with isolated data and shared infrastructure. • Led the migration from a monolithic codebase to a modular microservices architecture, using Flask + SQLAlchemy reflection to improve scalability and reduce deployment coupling. • Built high‑availability REST APIs with Django REST Framework, improving integration speed for frontend and third‑party systems. GEOSPATIAL & DATA ENGINEERING • Optimized complex geospatial workflows using GeoDjango + PostGIS, implementing a hybrid JSONB strategy that preserved schema flexibility while improving query performance. • Developed high‑performance spatial analysis features used in enterprise reporting and operational decision‑making. ASYNC PROCESSING & AUTOMATION • Engineered an automated data‑extraction pipeline using Celery, Celery Beat, and Azure Graph API, processing PDF/Word attachments asynchronously and reducing manual data entry by ~80%. • Implemented Redis caching and distributed task queues to improve system responsiveness and throughput under load. AI & INTELLIGENT FEATURES • Integrated Gemini and Google Speech‑to‑Text to build voice‑driven workflows, enabling automated form‑filling and NLP‑based intent extraction from user audio. SECURITY, RELIABILITY & DEVOPS • Strengthened platform security with RBAC, API rate limiting, AWS IAM hardening, and S3 pre‑signed URL policies. • Built CI/CD pipelines with GitHub Actions and deployed containerized environments with Docker, achieving 99.9% deployment reliability. • Implemented observability with Prometheus, enabling proactive detection of performance bottlenecks and infrastructure issues.

• Software Engineer · FISOTEC2022-04-01 –

  Note: Serving concurrently as a specialized engineer while leading backend development at the sister company, Indiva. GEOSPATIAL ENGINEERING & DESKTOP DEVELOPMENT • Architected and developed QGIS plugins using Python + PyQt5, streamlining field data collection workflows for municipal asset management teams. • Designed intuitive GUI components and automated mapping workflows that significantly reduced technician time spent capturing and updating city assets. SPATIAL DATA & DATABASE ENGINEERING • Integrated PostGIS + PostgreSQL to manage large‑scale spatial and relational datasets with high performance and accuracy. • Built a custom high‑performance database interface using psycopg2, executing complex SQL, CTEs, and spatial aggregations for utility‑scale datasets. • Engineered robust ETL pipelines to migrate PostgreSQL data into Shapefile (SHP) formats with 100% data integrity for client deliverables. API DEVELOPMENT & CLOUD INTEGRATION • Developed lightweight, high‑speed FastAPI services to synchronize data between QGIS desktop plugins and centralized cloud databases, enabling near real‑time updates from field technicians. AUTOMATION & REPORTING • Built dynamic reporting engines capable of generating localized Excel, PDF, and Word documentation directly from spatial queries, improving the speed and consistency of client reporting.

• Freelance2021-02-01 – 2022-04-01

  • Architected and deployed high-availability backend systems on AWS, achieving 99.9% system uptime. • Engineered real-time bidirectional communication layers with Django Channels and Redis Pub/Sub for distributed EC2 instances. • Designed secure cloud networking infrastructures using AWS VPC, ensuring data protection and isolation. • Containerized application environments using Docker and authored Kubernetes (K8s) manifests to streamline orchestration, ensuring consistency across development, staging, and production. • Developed scalable RESTful APIs using Django REST Framework (DRF), focusing on query optimization and database schema design in PostgreSQL to handle high-concurrency workloads.

• Strategy Analyst · PDVSA Petroleos de Venezuela S.A.2018-08-01 – 2020-12-01

  Management of data about Bariven/PDVSA. using excel, SAP, PowerPoint, Word.

Education

• Universidad Central de VenezuelaEngineer, Universidad Central de Venezuela

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