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The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

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Miguel Garcia

DZone Core CORE

VP of Engineering at Factorial

Galicia, ES

Joined Mar 2021

About

Miguel has a great background in leading teams and building high-performance solutions for the retail sector. An advocate of platform design as a service and data as a product.

Stats

Reputation: 1519
Pageviews: 225.5K
Articles: 20
Comments: 7

Expertise

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Career Development

  • Articles
  • Refcards
  • Trend Reports
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Articles

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Rethinking Recruitment: A Journey Through Hiring Practices
Reflections and insights on the evolution of hiring processes, highlighting the need for innovation, efficiency, and a candidate-focused approach to recruitment.
May 2, 2025
· 2,507 Views · 3 Likes
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Navigating the Challenges of Rapidly Scaling Your Engineering Team
The growth of engineering teams is a complex challenge faced by a growing organization. Explore the challenges and solutions for scaling engineering teams.
January 27, 2024
· 4,318 Views · 3 Likes
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Introduction to Snowflake for Beginners
Snowflake is evolving to provide transactional and analytical capabilities in a single platform. Learn more about its capabilities.
November 27, 2023
· 9,105 Views · 6 Likes
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The Evolution of Data Pipelines: ETL, ELT, and the Rise of Reverse ETL
Explore how the evolution of data pipelines in recent years requires the adaptation of organizations, teams, and engineers to use full potential of technology.
October 2, 2023
· 6,704 Views · 8 Likes
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Generative AI Models: Boosting Merchandising Analytics User Experience
Using generative AI to improve the analytical experience, enabling business users to ask anything about available data in our data platform.
June 29, 2023
· 5,333 Views · 6 Likes
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Front-End: Cache Strategies You Should Know
Caches are one of the keys to improving the performance of our web platform. Learn about cache and specific use cases focusing on the front end and client side.
May 1, 2023
· 22,915 Views · 10 Likes
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Productivity: Noise Is the Problem
How to improve the productivity of our engineering team by providing more focus time
April 3, 2023
· 8,277 Views · 14 Likes
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The 5 Books You Absolutely Must Read as an Engineering Manager
In this article, discover five books that are valuable resources to improve as an Engineering Manager.
March 17, 2023
· 8,611 Views · 3 Likes
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Dagster: A New Data Orchestrator To Bring Data Closer to Business Value
In this article, learn about a new generation of data orchestrators that has come to evolve the world of data and bring it closer to the operational level.
February 13, 2023
· 8,104 Views · 5 Likes
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Engineering Manager: Resolving Organizational Conflicts
This article provides insight into organizational conflicts, common scenarios, and tips on how to manage them in a professional environment.
January 3, 2023
· 6,237 Views · 9 Likes
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Engineering Manager: Resolving Interpersonal Situations
This article provides insight into interpersonal conflict, common scenarios, and tips on how to manage them in a professional environment.
December 19, 2022
· 6,092 Views · 3 Likes
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Engineering Manager: Resolving Intrapersonal Conflicts
How manage intrapersonal conflicts
December 10, 2022
· 8,798 Views · 8 Likes
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Engineering Manager: Effective Communication
Let's analyze the challenges of communication for engineering managers and review some tips to improve the process.
November 5, 2022
· 9,131 Views · 4 Likes
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Engineering Manager: Continuous Feedback
Feedback is one of the most valuable tools to support people and company growth. In this article, focus on feedback between engineers and engineering managers.
October 6, 2022
· 19,940 Views · 6 Likes
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Challenges to Designing Data Pipelines at Scale
In this article, take an in-depth look into assessing key challenges and solutions to effective data management.
May 21, 2022
· 11,440 Views · 3 Likes
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Engineering Manager: Beyond Leadership
Be a better teammate and leader.
January 8, 2022
· 10,066 Views · 7 Likes
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My First Thoughts as an Engineering Manager
An author shares his first experience working as an engineering manager. Could it be the next career for you? Find out more below.
November 10, 2021
· 11,673 Views · 11 Likes
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Data Platform: Building an Enterprise CDC Solution
Learn how to design and build a change data capture solution.
October 10, 2021
· 9,000 Views · 4 Likes
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Data Platform: Data Ingestion Engine for Data Lake
In this article, learn how to design and build an automated Data Ingestion Engine based on Spark and Databricks features.
July 22, 2021
· 13,096 Views · 6 Likes
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Data Platform as a Service
When we design and build a Data Platform, we are working on providing the capacities and tools that others teams need to develop their projects. Let's discuss!
April 20, 2021
· 15,531 Views · 16 Likes

Refcards

Refcard #396

Getting Started With Vector Databases

Getting Started With Vector Databases

Refcard #391

Real-Time Data Architecture Patterns

Real-Time Data Architecture Patterns

Refcard #269

Getting Started With Data Quality

Getting Started With Data Quality

Trend Reports

Trend Report

Data Engineering

Over a decade ago, DZone welcomed the arrival of its first ever data-centric publication. Since then, the trends surrounding the data movement have held many titles — big data, data science, advanced analytics, business intelligence, data analytics, and quite a few more. Despite its varying vernacular, the purpose has remained the same: to build intelligent, data-driven systems. The industry has come a long way from organizing unstructured data and driving cultural acceptance to adopting today's modern data pipelines and embracing business intelligence capabilities.This year's Data Engineering Trend Report draws all former terminology, advancements, and discoveries into the larger picture, illustrating where we stand today along our unique, evolving data journeys. Within these pages, readers will find the keys to successfully build a foundation for fast and vast data intelligence across their organization. Our goal is for the contents of this report to help guide individual contributors and businesses alike as they strive for mastery of their data environments.

Data Engineering

Trend Report

Data Pipelines

Enter the modern data stack: a technology stack designed and equipped with cutting-edge tools and services to ingest, store, and process data. No longer are we using data only to drive business decisions; we are entering a new era where cloud-based systems and tools are at the heart of data processing and analytics. Data-centric tools and techniques — like warehouses and lakes, ETL/ELT, observability, and real-time analytics — are democratizing the data we collect. The proliferation of and growing emphasis on data democratization results in increased and nuanced ways in which data platforms can be used. And of course, by extension, they also empower users to make data-driven decisions with confidence.In our 2023 Data Pipelines Trend Report, we further explore these shifts and improved capabilities, featuring findings from DZone-original research and expert articles written by practitioners from the DZone Community. Our contributors cover hand-picked topics like data-driven design and architecture, data observability, and data integration models and techniques.

Data Pipelines

Trend Report

Data Pipelines

Data is at the center of everything we do. As each day passes, more and more of it is collected. With that, there’s a need to improve how we accept, store, and interpret it. What role do data pipelines play in the software profession? How are data pipelines designed? What are some common data pipeline challenges? These are just a few of the questions we address in our research.In DZone’s 2022 Trend Report, "Data Pipelines: Ingestion, Warehousing, and Processing," we review the key components of a data pipeline, explore the differences between ETL, ELT, and reverse ETL, propose solutions to common data pipeline design challenges, dive into engineered decision intelligence, and provide an assessment on the best way to modernize testing with data synthesis. The goal of this Trend Report is to provide insights into and recommendations for the best ways to accept, store, and interpret data.

Data Pipelines

Events

Watch

On Demand Event Thumbnail

Data Pipelines: Investigating the Modern Data Stack

Presenter: Decodeable & Informatica

Comments

Introduction to Snowflake for Beginners

Nov 30, 2023 · Miguel Garcia

Thanks for your opinion!

Generative AI Models: Boosting Merchandising Analytics User Experience

Jul 02, 2023 · Miguel Garcia

We don't provide any data, we provide how the API works and what are the datasets available. Chatgpt returns to the frontend the API URL to get the information requested by the user. Eventually, the frontend launch the request provides by openai.

Engineering Manager: Resolving Organizational Conflicts

Jan 17, 2023 · Miguel Garcia

Thanks for the comment! That recommendation is a very useful recommendation and helps to solve one of the reasons. Some people have difficulties with time management, they need to learn techniques and tools to help them.

Engineering Manager: Resolving Intrapersonal Conflicts

Dec 15, 2022 · Miguel Garcia

Thanks

Engineering Manager: Resolving Intrapersonal Conflicts

Dec 15, 2022 · Miguel Garcia

Thanks!

Building an Enterprise CDC Solution

Feb 05, 2022 · Dario Cazas Pernas

Great article!

My First Thoughts as an Engineering Manager

Nov 17, 2021 · Miguel Garcia

Thank you for your feedback!

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