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Marcelo Tony Rodriguez

@marcelotonyrodriguez

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Senior Data Engineer specializing in scalable cloud warehouses, ETL/ELT, and governed pipelines.

Argentina

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What I'm looking for

I’m looking to build and optimize cloud data warehouse and ETL/ELT platforms—adding observability, data governance, and dependable CI/CD—so analytics teams get faster, trustworthy decisions in an Agile, collaborative environment.

I’m a Senior Data Engineer with 15+ years of experience designing and maintaining scalable data warehouse solutions, ETL/ELT pipelines, and cloud-based data architectures. I focus on turning complex data infrastructure into measurable business outcomes through reliability, performance, and clarity.

In recent work, I reengineered Marketing and Finance ETL pipelines, cutting processing time by 70% and improving analytical reporting latency across business units. I also led a strategic migration to Amazon Redshift to address core data warehouse scalability failures and establish a dependable single source of truth for cross-functional teams.

I build end-to-end pipelines with tools like Apache Airflow, BigQuery, Dataflow, and data governance/observability components, and I ship with CI/CD automation to reduce manual deployment and improve release reliability. I bring strong data modeling and BI alignment—using star schema dimensional modeling and executive dashboards in Looker, Power BI, and QlikView—while collaborating closely with product and backend teams in Agile environments.

Experience

Work history, roles, and key accomplishments

Data & Analytics Engineer

Mandala Tech

Jul 2024 - Feb 2026 (1 year 7 months)

Reengineered Marketing and Finance ETL pipelines, reducing processing time by 70% and improving analytical reporting latency. Led migration to Amazon Redshift and built governed ETL/ELT pipelines on GCP to provide reliable, observable data flows.

Python SQL Apache Airflow Amazon Redshift BigQuery Dataflow Data Governance Jenkins

Senior BI & Data Engineer

Unigo

Jan 2018 - Jan 2024 (6 years)

Designed and maintained scalable dimensional-model data warehouses and built automated ETL pipelines with Python and Apache Airflow. Implemented executive dashboards in Looker and Power BI and enforced data integrity, quality, and security through monitoring and continuous performance improvements.

Python SQL Apache Airflow Dimensional Models Looker Power BI Data Quality ETL Slack

Senior BI Consultant

Close-Up International

Jan 2008 - Jan 2015 (7 years)

Led enterprise BI data architecture and QlikView solutions for multiple clients, focusing on performance and scalability. Optimized Oracle data models to improve reliability and reporting efficiency across deployments.

Qlikview Oracle SQL Data Architecture Data Modeling Performance Tuning Enterprise Reporting Scalability

Data Engineer

Dacodes

Jan 2017 - Present (9 years 4 months)

Automated complex data workflows using Python and Apache Airflow as part of a modern data stack implementation. Built high-complexity operational Looker reports to enable real-time monitoring of key business KPIs.

Python SQL Apache Airflow Looker Data Governance

Senior BI Analyst

Ecosistemas

Jan 2016 - Present (10 years 4 months)

Validated data quality in Hadoop environments and across SQL/DB2 systems for enterprise data warehouse operations. Transformed raw datasets using complex business rules to ensure integrity across reporting layers.

Hadoop SQL Data Quality data transformation Business Rules Data Integrity