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Maximiliano Falco

@maximilianofalco

Data Engineer at Claro Argentina building telemetry pipelines for 15+ operational use cases with Python, Airflow, and AWS.

Argentina

Message

At Claro Argentina, I design and build production-grade ETL/ELT pipelines that orchestrate multi-vendor telemetry ingestion for 15+ automated operational use cases. I develop Python workflows to normalize complex JSON and XML data from REST and GraphQL APIs.

I implement idempotent processing, retries, and state management in Apache Airflow, and deploy monitoring with OpenSearch to support pipeline reliability. I also automate deployments across Sandbox, Pre-Production, and Production using Git and GitHub Actions.

Earlier, I built ingestion pipelines for Jira operational data and designed Kimball models and SQL queries, reducing query execution time by 30%. In my current personal project, I’m developing ingestion pipelines for unstructured data to support natural-language querying.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer – Automation & Infrastructure

Current

Claro Argentina (América Móvil)

Apr 2024 - Present (2 years 6 months)

Design and build scalable, production-grade ETL/ELT data pipelines orchestrating multi-vendor telemetry ingestion for 15+ automated operational use cases. Implement idempotent processing patterns, retry mechanisms, and state management within Apache Airflow to guarantee data consistency and safe reruns across production environments.

Python SQL Airflow ETL ELT REST APIs GraphQL APIs JSON XML OpenSearch ELK Git GitHub Actions CI CD AWS

Data Analyst & Junior Data Engineer

Claro Argentina (América Móvil)

Oct 2022 - Mar 2024 (1 year 5 months)

Built automated ingestion pipelines with Python, Pandas, and REST APIs to consolidate Jira operational data into an analytical layer for SDLC capacity planning. Designed dimensional models (Kimball) and optimized SQL queries using CTEs, window functions, and indexing strategies, reducing query execution time by 30%.