David Regalado

Hi there!

Thank you for visiting my profile. I am passionate about data & AI. Throughout my 17 years of professional experience I have seen projects of various types, sizes and industries. 

Summary

In my country, I've worked in the biggest companies like:

- Financial Services: Scotiabank, Interbank
- Telecommunications: Telefónica del Perú, Claro
- Consulting: Teradata Perú, Indra, Encora
- Consumer Credit Reporting Agencies: Equifax
- Ad-Tech: Manya.pe

In those companies, I did the whole data lifecycle: data extraction, ingestion, data manipulation, data modeling (normalization, denormalization, etc), data analysis, data quality assessments. In short, the ETL part (data pipelines) + data analysis. 

Achievements: The Data Warehouses/Lakes and dashboards were delivered to my clients, so they could start making data-driven decisions.

These recent years I've been working for U.S. clients as a contractor. Specifically:

- Academics: University of Chicago
- Healthcare: Amplifon
- Cyber Security: Anomali
- Ad-Tech: Clevertech
- Startup: Nebula.io

Achievements: Data pipelines delivered and students gratuated from the University program.

Highlight

- Founder at Data Engineering Latam, the largest, fastest-growing data community in Latin America: https://www.linkedin.com/company/data-engineering-latam
- I taught Python for Data Science in the University of Chicago.
- Recognized as Champion Innovator by Google
- I led teams of 20 people in 3 different occasions.
- Recurrent speaker and jury in events related to data & AI.

Studies

- Systems Engineer from the Technological University of Peru (UTP), tenth superior.
- With a specialization in Data Science from Johns Hopkins University.
- With a specialization in Data Warehousing for Business Intelligence from Colorado University.
- With a specialization in Data Science and Big Data Analytics from MIT.
- With 4 certifications, 15 specializations and 67 Google Cloud Platform digital badges.
- With studies in Artificial Intelligence at UBA-IALAB

Tech stack

Cloud Computing: Google Cloud (GCP), AWS, Azure
Data Engineering: Apache Beam, Airflow, Spark, Databricks, Snowflake, dbt, Hadoop, Hive, Luigi
Databases: BigQuery, Teradata, MongoDB, Elasticsearch, Oracle, SQL Server, PostgreSQL, Mysql
Data Visualization: Power BI, Tableau, Looker, Data Studio
Programming languages: Python, Scala, R
DevOps & CI/CD: Terraform, Docker, Kubernetes, Git, GitHub

Roles 

CTO, CDO, CDAO, Data Science Manager, Data Engineering Manager, Head of Data, Tech Leader, Data Architect, Data Engineer, Data Scientist, BI Consultant.

Ambassador at AI Time Journal

AI Time Journal is a publishing platform that strives to aware users of and around the world of Artificial Intelligence, growing technology trends, and other industry news. Its final aim is to contribute to steering the development of AI for the benefit of humanity.

Orange Business Services

- Designed and implemented fully automated Continuous Integration (CI) and Continuous Deployment (CD) pipelines using GitLab CI, Nexus, Kubernetes (K8S), and Docker, optimizing deployment workflows and reducing deployment times by 30%. Integrated best practices in DevOps and cloud automation to enhance scalability, reliability, and efficiency.
- designed and implemented a data retention pipeline to enforce lifecycle management within the data lake, automatically purging data older than one year. Built entirely in Python and orchestrated as a weekly cronjob on Kubernetes, ensuring consistent data hygiene and storage cost optimization.

Data & Software Engineer

- Developed a RESTful API to provide geolocation and status information for fiber optic cables.
- Designed and developed REST APIs to exchange files.
- Added new features and fixed several bugs in OBS’s BWA application used by planners
and clients worldwide.
- Built ETL models to enhance business processes and automate data extraction.
- Performed database migration, transitioning BWA’s database from MS SQL to MySQL.

Software & Automation Engineer

FY COMPUTING

- The implementation of ZIWIG; a web and health platform to improve the care
pathway for women suffering from endometriosis.
- Analyzed user needs and proposed design software solutions to meet them.
- The design phase is carried out using the UML.
- Developed the app using the MEAN STACK and following the Agile practices.

Software Engineer

Acentium

- Designed and implement REST APIs using NodeJs & ExpressJs.
- Modified existing apps in ElectronJs to fix coding errors and implement new
features.
- Write Scripts in PL/SQL to manipulate and trait data.
- Conceived & built a PDF reporting engine API using PuppeteerJs, ExpressJs and
NodeJs.
- Securing the API via Microsoft’s MSAL.
- Dockerizing and managing project deployment on Microsoft Azure.

Software Development Engineer

Fiverr

- Modified existing software to fix coding errors, update interfaces and improve
overall performance.
- Implement simple machine learning algorithms (linear regression, classification and
svm) to analyze and predict business performance.
- Developed user interfaces to implement pre-existing backend functionalities using
Python frameworks like Kivy, PyQt5, and Tkinter.
- Designed and created websites using python frameworks (flask, Django).
- Scrape, clean, and analyze data.

Python Developer

Upwork

- Modified existing software to fix coding errors, update interfaces and improve
overall performance.
- Implement simple machine learning algorithms (linear regression, classification and
svm) to analyze and predict business performance.
- Developed user interfaces to implement pre-existing backend functionalities using
Python frameworks like Kivy, PyQt5, and Tkinter.
- Designed and created websites using Django stack and MERN stack.
- Scrape, clean, and analyze data.

Web Developer

I’m a Data & DevOps Engineer passionate about building scalable, reliable, and automated data platforms.

With a background in software engineering and expertise across data engineering, DevOps, and DataOps, I specialize in:

- Designing and automating data pipelines (ETL/ELT)

- Implementing CI/CD for data workflows

- Managing cloud infrastructure (Azure, Kubernetes, Terraform)

- Ensuring data quality, versioning, and governance


I believe in bridging the gap between data teams and operations, enabling companies to move faster, reduce costs, and improve reliability.

taplio

The Battle

David Regalado

Younes Ait Mha

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