Experience building Backend with FastAPI/Flask, as well as developing DAGs in Airflow

Design and implementation of AWS Cloud Architectures

Automation processes and tasks in Bash/Zsh

Image building, vulnerability resolution and service optimization

Building private EKS and GKE clusters, ECS to EKS migration, deployments with Kustomize/Helm

Development of CI/CD workflows with Github

Reusable multi-cloud modules (AWS, GCP, Microsoft Fabric) with OIDC, remote backends and Checkov/tfsec scanning

Work with multiple branches qa/dev/prod and features

Local server for personal task automation

Project management by sprint and milestone

Collection model for Docker or Kubernetes

Managing multiple hosts and services for HTTP/HTTPS

Local environment manager language for linux configurations

Experience in migrations from Docker to Podman for K8s models

Experience in CI/CD pipelines

Experience in databases for Warehouse or Applications

Development of visualizations and dashboards

Task orchestration in docker, kubernetes, bare-metal or MWAA environments

Log collector and centralization in ElasticSearch DB

Metrics exposure at node or container level

Monitoring dashboard on own servers as well as at large scale

Cloud infrastructure management using Kubernetes as control plane

Development of agents with GPT-4o and GPT-4.1 for document processing and NLP

AI workflow orchestration with LangChain and LangGraph

Transformers for NLP and Computer Vision

Deep Learning framework for model training

ML model training and deployment

Classic Machine Learning and data analysis

High-performance CLI tool development

Interactive dashboards and data applications

Embedded analytical engine for data processing

Image processing and computer vision

GKE platform with Terraform, Cloud Run, Cloud SQL, BigQuery, Artifact Registry and Secret Manager

Azure Data Factory, Databricks and Microsoft Fabric for production data pipelines; Azure ML for model training

High-performance API development in Python

Business workflow and process automation

Enterprise API development with TypeScript

Data pipeline orchestration and migration of legacy Informatica PowerCenter workflows

Bronze/Silver/Diamond pipelines with PySpark and Databricks Asset Bundles

Target data warehouse for production pipelines, transient tables and transformation views

Terraform modules for capacity, workspaces, medallion lakehouses and Spark pools, with branch-based GitOps

Declarative ELT with tests and lineage on DuckDB

Open table format for medallion lakehouse

S3-compatible object storage for on-premise data lakes

Distributed processing and fixed-width file parsing on Databricks

App Router applications with Server Actions, deployed on Cloud Run

Interfaces with React 19, TanStack Table and React Hook Form

Full-stack development in strict mode, schema validation with Zod

Data modeling and migrations on PostgreSQL

Design systems with tokens and light/dark mode

End-to-end tests in CI with ephemeral Postgres

Unit and integration tests