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This is David, a data practitioner with 17 years of experience across startups, banking, healthcare, retail, telecommunications, consumer credit reporting agencies, cybersecurity, ad-tech, and consulting. Currently I'm working at Amplifon, world's largest hearing aid retailer and a global leader in hearing care services. Based in Italy, the company operates over 10,000 clinics in 29 countries, offering comprehensive hearing tests and various hearing aid brands. My role at Amplifon is Regional Data Architect. That includes the U.S., Canada, and Latam. I evaluate data processing architectures and vendor proposals on a daily-basis. I also work on defining the roadmap and setting priorities together with the business. I have a deep interest in data governance and data strategy. Many data-related challenges in organizations are not solved by simply implementing code, but rather require aligning people and establishing appropriate rules of engagement. I believe the extensive hands-on knowledge I have across the different disciplines in the data space make me a strong candidate for any Head of Data position. I took different courses from leading institutions like M.I.T., University of Colorado, John Hopkins University, Universidad de Buenos Aires (UBA). I'm certified by the largest technology companies, like Google, Databricks, Deloitte University Press, and Scrum.org. Furthermore, I have had the opportunity to contribute as a lead mentor for a United Nations-sponsored hackathon hosted by Hackmakers, and I have also served as a judge for various academic projects at the Universidad Argentina de la Empresa (UADE). In recent years, I have dedicated time to acquiring knowledge about artificial intelligence (AI) and have enrolled in various specialized courses on AI agents. These courses have provided me with the necessary tools to advise companies on the successful implem
Massachusetts Institute of Technology
Data Science and Big Data Analytics
January 1, 2021 – January 1, 2021
University of Colorado
Specialization in Business Intelligence, Business Intelligence
January 1, 2018 – January 1, 2019
Johns Hopkins University Advanced Academic Programs
Specialization in Data Science, Data Science
January 1, 2018 – January 1, 2020
Acámica
Multiparadigm Simulation Algorithms in Business, Modelado, entornos virtuales y simulación
January 1, 2014 – January 1, 2015
Universidad Tecnológica del Perú
Systems Engineering, Systems Engineering
January 1, 2004 – January 1, 2008
Amplifon
Data Architect, Americas Region
May 1, 2025 – April 1, 2026
United States · Remote
Stealth Startup
Advisor
February 1, 2025 – Present
Remote
Stealth Startup
VP of Engineering
November 1, 2023 – February 1, 2025
Remote
Nebula.io
Senior Data Engineer
February 1, 2023 – July 1, 2023
United States · Remote
AI Time Journal
Ambassador at AI Time Journal
June 1, 2022 – Present
San Francisco, California, United States
Anomali
Senior Data Engineer
November 1, 2021 – January 1, 2022
United States
University of Chicago
Data Scientist - Teaching Assistant
February 1, 2021 – February 1, 2022
United States
Clevertech
Senior GCP Data Engineer
February 1, 2021 – July 1, 2021
New York City Metropolitan Area
Data Engineering Latam
Founder
November 1, 2020 – Present
Scotiabank
Data Architect
December 1, 2019 – December 1, 2020
Peru
Indra
Data Engineer Tech Lead
September 1, 2019 – December 1, 2019
Perú
DWConsulware
Data Engineer
June 1, 2019 – August 1, 2019
Peru
DWConsulware
Senior Business Intelligence Consultant
May 1, 2018 – May 1, 2019
Peru
Celeritech
Senior Business Intelligence Consultant
March 1, 2018 – April 1, 2018
Peru
Teradata
Senior Business Intelligence Consultant
June 1, 2017 – December 1, 2017
Peru
Manpower Perú
Business Intelligence Consultant
November 1, 2015 – May 1, 2017
Perú
MDP CONSULTING S.A.C
Functional / QA Analyst
January 1, 2015 – November 1, 2015
Lima Perú
AS.PE
Senior Web Consultant
October 1, 2014 – December 1, 2014
Peru
theBond.biz
Chief Technology Officer
May 1, 2014 – September 1, 2014
Lima, Perú
Manya
Project Manager
February 1, 2012 – April 1, 2014
Manya
Team Leader
August 1, 2010 – February 1, 2012
Interibérica
Programmer Analyst
March 1, 2009 – July 1, 2010
Greater Almería Metropolitan Area
Blue Crystal Group
Junior Consultant
February 1, 2009 – February 1, 2010
Georgia, Estados Unidos
Ministry of Justice
Technical Support
August 1, 2008 – October 1, 2008
Lima, Perú
Intelligent Talent Acquisition Platform
February 1, 2023 – July 1, 2023
Enter a job description, favored resume or preferred archetype and the matching engine will instantly score, sort and rank recommended profiles best suited for your roles. It works under the hood by using Natural Language Processing and Deep Learning Neural Networks, enabling Nebula to analyze hundreds of millions of profiles in seconds to provide you with the most meaningful matches. Find the best talent, first.
Scotiabank - Data Hub
December 1, 2019 – December 1, 2020
Responsible for the design and implementation of the Data Hub architecture for Scotiabank's Digital Analytics area
Telefónica - Traceability Management
August 1, 2019 – November 1, 2019
Framework built on ApacheNiFi, Python, Hive, Sqoop, TDCH technologies -FTP and database extraction -Standardization (manipulation of XML and JSON files) -Ingest to Hive -Transformation -Export FTP and to databases
UPC - Business Intelligence Project
June 1, 2018 – July 1, 2018
Technologies: Microstrategy, Oracle, Informatica Power Center
Sura - Data Warehouse
May 1, 2018 – June 1, 2018
Data Mart for the area of Operations, Affiliates and Employers Technologies: DataStage, DB2, Netezza, Power BI
Interbank: Analytics Initiatives Program
August 1, 2017 – September 1, 2019
Value proposition that includes a set of agile BI projects that involved different areas of the bank. Between them: -Business Analytics - IT - Risks - Finance -CRM - Agreements - Personal Credits - Vehicle Credits - Mortgage credits - Passive Products (Savings accounts, salary account and CTS account)
Claro - Data Warehouse: Visión Única de Cliente
January 1, 2017 – August 1, 2017
Data Warehouse that unifies information from different applications on customers' fixed and mobile lines, services, portfolio and collection, claims, billing, channels, recharges, adjustments, traffic, among others. Technologies: Teradata, Power Center Computing, Unix, Business Objects
Telefónica del Perú - Data Warehouse Convergente
November 1, 2015 – December 1, 2016
Data Warehouse that unifies information from different applications on customers' fixed and mobile lines, services, portfolio and collection, claims, billing, channels, recharges, adjustments, traffic, among others. Technologies: Teradata, IBM Datastage, Unix, Business Objects
Equifax - Interconnect
January 1, 2015 – November 1, 2015
Creation of Artificial Intelligence System for Telefónica I participated in the implementation of an Artificial Intelligence System for the evaluation and selection of commercial strategy for Telefónica customers based on their credit history in the financial system. It includes system analysis, technical specifications, programming and automation of quality tests.
Web Portal for Caja Municipal Cusco
October 1, 2014 – December 1, 2014
I developed all the modules of the portal with HTML5 technology: Virtual Box, Suppliers, Training Centers, Schools, Savings Simulator, Credit Simulator. This portal is made with Responsive Web Design, which means that its elements adapt to the size of the device screen (PCs, laptops, tablets, smartphones)
Manya.pe: Implementation of New Front-End Technologies
July 1, 2012 – December 1, 2012
I was in charge of the progressive implementation of HTML5 and CSS3 technologies in the projects, through a series of trainings and awards to office and outsourcing staff. This allowed the company to increase its income, offer cross-browser and multi-device compatibility, open new markets and be able to participate in web page contests worldwide and be a reference in terms of responsive design.
Manya.pe: Implementación de Metodologías Ágiles
July 1, 2012 – December 1, 2012
I was in charge of the implementation of the Scrum, Kanban and Lean UX methodologies. I participated in most cases as a scrum master, being in charge of distributing the workload of the staff and estimating development times. On other occasions I participated as a Product Owner, ensuring the correct development of the client's requirements. This increased the effectiveness of time and cost estimates. It also made it easier to progressively deliver to the customer a product that can add value in less time.
Google Cloud Platform Big Data and Machine Learning Fundamentals
June 23, 2026 – Present
The Data Scientist’s Toolbox
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Data Warehouse Concepts, Design, and Data Integration
University of Colorado
June 23, 2026 – Present
Relational Database Support for Data Warehouses
University of Colorado
June 23, 2026 – Present
Business Intelligence Concepts, Tools, and Applications
University of Colorado
June 23, 2026 – Present
Design and Build a Data Warehouse for Business Intelligence Implementation
University of Colorado
June 23, 2026 – Present
R Programming
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Getting and Cleaning Data
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Exploratory Data Analysis
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Specialization - Data Science: Foundations using R
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Reproducible Research
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Statistical Inference
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Creative Thinking: Techniques and Tools for Success
Imperial College London
June 23, 2026 – Present
Regression Models
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Building Resilient Streaming Systems on Google Cloud Platform
June 23, 2026 – Present
Serverless Machine Learning with Tensorflow on Google Cloud Platform
June 23, 2026 – Present
Badge: Infrastructure
June 23, 2026 – Present
Specialization - Networking in Google Cloud
June 23, 2026 – Present
Specialization - Cloud Engineering with Google Cloud
June 23, 2026 – Present
Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
June 23, 2026 – Present
Specialization - Developing Applications with Google Cloud Platform
June 23, 2026 – Present
Specialization - Cloud Architecture with Google Cloud
June 23, 2026 – Present
Specialization - Architecting with Google Compute Engine
June 23, 2026 – Present
Specialization - Security in Google Cloud Platform
June 23, 2026 – Present
Practical Machine Learning
Johns Hopkins University Advanced Academic Programs
June 23, 2026 – Present
Specialization: Data Engineering on Google Cloud Platform
June 23, 2026 – Present
Serverless Data Analysis with Google BigQuery and Cloud Dataflow
June 23, 2026 – Present
Professional Scrum Master
Scrum.org
June 23, 2026 – Present
Database Management Essentials
University of Colorado
June 23, 2026 – Present
Specialization: Data Warehousing for Business Intelligence
University of Colorado
June 23, 2026 – Present
Deloitte University Press: Cognitive Technologies for Business Course Completion
Deloitte
June 23, 2026 – Present
Data Science and Big Data Analytics
Massachusetts Institute of Technology
June 23, 2026 – Present
Be the Manager People Won't Leave
June 23, 2026 – Present
Nano Tips to Speak Up in Meetings with Shadé Zahrai
June 23, 2026 – Present
Digital Body Language
June 23, 2026 – Present
Google Cloud Associate Data Practitioner Certification
June 23, 2026 – Present
dbt Fundamentals
dbt Labs
June 23, 2026 – Present
Google Cloud Certified Professional Cloud Architect
June 23, 2026 – Present
Databricks Lakehouse Fundamentals
Databricks
June 23, 2026 – Present
Professional Cloud Database Engineer Certification
June 23, 2026 – Present
Professional Data Engineer Certification
June 23, 2026 – Present
Decision Intelligence
June 23, 2026 – Present
AI for Everyone
DeepLearning.AI
June 23, 2026 – Present
Course - Google Cloud Product Fundamentals
June 23, 2026 – Present
Course - Business Transformation with Google Cloud
June 23, 2026 – Present
Badge - Kubernetes in Google Cloud
June 23, 2026 – Present
Writing a Compelling Blog Post
June 23, 2026 – Present
Course - Managing Machine Learning Projects with Google Cloud
June 23, 2026 – Present
Specialization - Digital Transformation Using AI/ML with Google Cloud
June 23, 2026 – Present
Certified Python Programmer
Python Developer
June 23, 2026 – Present
Badge - Perform Foundational Infrastructure Tasks in Google Cloud
June 23, 2026 – Present
Badge - Set Up and Configure a Cloud Environment in Google Cloud
June 23, 2026 – Present
Google Cloud Certified Professional Data Engineer
June 23, 2026 – Present
Badge - Cloud Engineering
June 23, 2026 – Present
Specialization - Data Science with Databricks for Data Analysts
Databricks
June 23, 2026 – Present
Course - Apache Spark (TM) SQL for Data Analysts
Databricks
June 23, 2026 – Present
Course - Data Science Fundamentals for Data Analysts
Databricks
June 23, 2026 – Present
Course - Applied Data Science for Data Analysts
Databricks
June 23, 2026 – Present
Certification - Associate Cloud Engineer
June 23, 2026 – Present
Badge: Create and Manage Cloud Resources
June 23, 2026 – Present
Specialization - Architecting with Google Kubernetes Engine
June 23, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an ML Engineer role, particularly in innovative and data-driven environments. Their experience spans various industries (finance, cybersecurity, talent acquisition, telecommunications) and includes work with startups and large enterprises, showcasing adaptability. The founding of 'Data Engineering Latam' highlights a passion for community building and knowledge sharing. The breadth of skills, from traditional BI/DW to cutting-edge AI/ML, indicates a continuous learning mindset and a diverse problem-solving approach.
Soft Skills & Operational Fit
The candidate's experience in leadership roles (VP of Engineering, Data Architect, Project Manager) suggests strong soft skills including communication, decision-making, and team collaboration. Their involvement in implementing Agile methodologies (Scrum, Kanban, Lean UX) indicates an operational fit for dynamic and fast-paced environments. The descriptions of coordinating with teams, supporting strategic decisions, and fostering collaboration further support these conclusions.