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David Regalado

VP of Engineering working on Gen AI products ╏ Data Engineering Advisor ╏ International Speaker ╏ Data Strategy ╏ Data Mentor ╏ Google Cloud Champion Innovator ╏ Data Architecture ╏ AI Time Journal Ambassador

David Regalado is a distinguished leader in the field of data engineering, currently serving as the VP of Engineering at a Stealth Startup. He has over 16 years of extensive experience in data warehousing, automation, pipelines, and cloud architecture. Throughout his career, David has worked with various industries including financial services, telecommunications, consumer credit reporting agencies, cybersecurity, ad-tech, and consulting firms, helping them create systems to extract and ingest data.1

As a data architect and technical advisor, David has expertise in Google Cloud Platform, Apache Beam, Terraform, and database management systems like MySQL and PostgreSQL. He is also the founder of the Data Engineering Latam community and an AI Time Journal Ambassador, demonstrating his commitment to fostering knowledge sharing and innovation in the data space.1

David's educational background is impressive. He graduated with top honors in Systems Engineering from the Technological University of Peru (UTP) and has pursued additional studies in Creative Thinking at Imperial College London and Cognitive Technologies at Deloitte University Press. He has also completed specializations from prestigious institutions such as:

  • Data Science from Johns Hopkins University
  • Data Warehousing for Business Intelligence from Colorado University
  • Data Science and Big Data Analytics from MIT
  • Data Governance from University of Buenos Aires1

David holds numerous industry certifications, including:

  • Google Cloud Professional Cloud Architect
  • Google Cloud Professional Data Engineer
  • Google Cloud Associate Cloud Engineer
  • Google Cloud Digital Leader
  • Databricks Lakehouse Fundamentals
  • Scrum.org Professional Scrum Master

He has also completed more than 10 specializations from Google Cloud in areas such as Digital Transformation, Data Engineering, Big Data, and Machine Learning.1

Recognized as a Google Cloud Champion Innovator, David has a robust portfolio of 65 digital badges from CloudSkillsboost and certifications in Python and R programming. He is committed to driving innovation, fostering diversity, and mentoring the next generation of technology leaders, particularly advocating for Latinx inclusion in the tech industry.1

Beyond his technical expertise, David is interested in Neuro-Linguistic Programming, Emotional Intelligence, Creative Thinking, Upskilling, Mentoring, Public Speaking, Storytelling, Social Media, Photography, and Physics. He is also the founder of Data Engineering Latam, the largest and fastest-growing data community in Latin America, which aims to promote regional talent through various educational and collaborative initiatives.12

Highlights

Jul 9 · linkedin

Is Postgres the real swiss army knife for data engineers?

According to amazingcto[.]com, one way to simplify your stack and reduce the moving parts, speed up development, lower the risk and deliver more features in your startup is “Use Postgres for everything”. Postgres can replace—up to millions of users—many backend technologies, Kafka, RabbitMQ, Mongo and Redis among them. This makes every application easier to develop, scale and operate.

Use Postgres for everything:

✅ Caching: Use UNLOGGED tables and TEXT as a JSON data type in Postgres instead of Redis. ✅ Message Queue: Replace Kafka with Postgres using SKIP LOCKED for simple message queue needs. ✅ Job Queue: Use Postgres with tools like River in Go for job queuing. Data Warehouse: Implement TimescaleDB on top of Postgres for data warehousing needs. ✅ In-Memory OLAP: Combine Postgres with pg_analytics and Apache Datafusion for OLAP functionalities. ✅ JSON Storage: Store, search, and index JSON documents with JSONB in Postgres instead of MongoDB. ✅ Cron Jobs: Use pg_cron in Postgres for scheduling tasks, like sending emails. ✅ Geospatial Queries: Utilize Postgres's geospatial querying capabilities. ✅ Full-Text Search: Implement full-text search directly in Postgres instead of using Elasticsearch. ✅ JSON Generation: Generate JSON directly in the database, eliminating the need for server-side code. ✅ Auditing: Use pgaudit for auditing purposes. ✅ GraphQL Adapter: Integrate Postgres with a GraphQL adapter if GraphQL is needed.

Thoughts?

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Jun 27 · linkedin

✅ Learning path complete

It was fun completing this learning path. On to the next!

What/Who is a Cloud Digital Leader?

A Cloud Digital Leader can 𝐚𝐫𝐭𝐢𝐜𝐮𝐥𝐚𝐭𝐞 the capabilities of core cloud products and services and 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 how they benefit organizations.

This no cost learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Cloud Digital Leader role. Once you complete the path, check out the Google Cloud Digital Leader certification ( https://lnkd.in/eMbF5rNy) to take the next steps on your professional journey.

Digital Transformation with Google Cloud ➡️ https://lnkd.in/eHRQYeEP

Exploring Data Transformation with Google Cloud ➡️ https://lnkd.in/egZKV_GW

Innovating with Google Cloud Artificial Intelligence ➡️ https://lnkd.in/ePDPWYHb

Infrastructure and Applications with Google Cloud ➡️ https://lnkd.in/euuQKQsR

Trust and Security with Google Cloud ➡️ https://lnkd.in/eEiB2Hzw

Scaling with Google Cloud Operations ➡️ https://lnkd.in/eTVNxpAw

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Related Questions

What are some of the key projects David Regalado has led at his current stealth startup?
How has David Regalado's work impacted the data engineering industry?
What specific technologies does David Regalado specialize in?
Can you provide more details about the Data Engineering Latam community founded by David Regalado?
What are some of the notable certifications David Regalado holds?
David Regalado
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Location

Peru