Ana Beltran
@anabeltran
Senior technical consultant specializing in data architecture, ETL, analytics, and application development.
What I'm looking for
I am a senior technical consultant and data scientist with deep experience designing data architectures, ETL pipelines, analytics systems, and end-to-end application solutions for enterprises and startups. I focus on diagnosing and improving complex, high-volume data environments and legacy systems to deliver measurable business outcomes.
I have built data processing pipelines and backend services using Python, designed data warehouses and data lakes, and developed applications for risk analytics and high-volume transaction processing. I have experience mentoring junior engineers, collaborating with cross-functional teams in regulated environments, and supporting analytics and AI-oriented business use cases.
I combine technical breadth—data engineering, backend and web development, NoSQL and relational modeling—with a pragmatic, business-focused approach to automation, optimization, and data-driven product development.
Experience
Work history, roles, and key accomplishments
Principal Data Scientist
MXAI Startup
Jan 2023 - Present (3 years 2 months)
Designed and implemented Python data processing pipelines and developed backend and web components for analytics and AI solutions, mentoring junior engineers and delivering business-facing data products.
Senior IT Engineer
Thermo Fisher Scientific
Jan 2021 - Jan 2023 (2 years)
Developed Python scripts and backend services for data ingestion, processing, and validation in regulated environments, and mentored team members on AWS Cloud Practitioner certification.
Applications Architect
Cecoaching
Jan 2019 - Jan 2020 (1 year)
Designed data models and ingestion processes for a data lake and modeled a credit risk SaaS application, producing PoC risk-analytics applications for large-volume data processing.
Applications Architect
Tata Consultancy Services
Jan 2009 - Jan 2017 (8 years)
Reverse-engineered payroll systems and designed data warehouse and middleware architectures for banking clients, developing high-volume transaction systems in Python.
Education
Degrees, certifications, and relevant coursework
Universidad Latinoamericana (ULA)
Data Science
Completed coursework and training in Data Science with focus on data extraction, predictive modeling, and process optimization through analytics.
Tech stack
Software and tools used professionally
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