+15 Years of Engineering & Data Leadership Cloud & AI Solutions

Transforming Data into Intelligence and Architectures into Strategic Value.

Senior Engineer and Solutions Architect specialized in designing modern enterprise data platforms, resilient cloud architectures, microservices, workflow automation, and Applied Artificial Intelligence.

Explore Architecture Direct Contact

Engineering Philosophy

"Artificial Intelligence and Cloud are not just trends; they are strategic accelerators. My approach is pragmatic: utilizing AI as a precision engineering tool to automate mission-critical workflows, govern massive data streams, and deliver measurable operational advantages."

With over 15 years evolving from fullstack software engineering and microservices to modern data architecture, I focus on designing simple, resilient, and efficient systems where every service operates with high availability and every data point drives concrete decisions.

Technical Blueprint

Data Architecture & AI Ecosystem

End-to-end engineering workflow: distributed ingestion, orchestration, modern lakehouse, and intelligent activation.

Enterprise Data & AI Pipeline Workflow

Click on each phase to explore the architectural principles, core stack, and strategic business impact.

Ingestion & Data

AI & Microservices

Business ROI

Phase 01

Multi-Source Ingestion

Phase 02

Orchestration & dbt

Phase 03

Modern Lakehouse

Phase 04

AI & Microservices

Phase 05

Business Activation

1. Multi-Source Ingestion & Event Streaming

Continuous, resilient data capture from REST APIs, real-time webhooks, transactional change-data-capture (CDC), advertising platforms, enterprise ERPs, and high-throughput event streams.

Kafka Google Pub/Sub AWS Kinesis Event-Driven Webhooks

Strategic Impact

Ingestion latency reduced to seconds with robust fault tolerance and decoupled upstream source systems.

Technologies

Technology Stack

Production-proven tools across enterprise-scale systems.

DATA WAREHOUSE GCP

Google BigQuery

Serverless petabyte-scale analytics, columnar storage, partition pruning, and slot cost optimization.

TRANSFORMATION ELT

dbt (Data Build Tool)

Modular SQL transformation pipelines, automated testing, version control, and end-to-end data lineage.

LAKEHOUSE MULTI-CLOUD

Snowflake & Databricks

Decoupled compute and storage, Delta Lake architecture, Iceberg tables, and high-throughput processing.

ORCHESTRATION DAGs

Apache Airflow

Programmatic DAG-based workflow scheduling, cross-system dependency monitoring, and automated retries.

GENAI / AGENTS APPLIED AI

LLMs & RAG Architectures

Integration of foundational LLMs, vector embeddings, RAG architectures, and autonomous agents for workflow automation.

CORE LANGUAGE PYTHON

Python (Data, APIs, AI)

Data pipelines, high-performance ETL scripts, FastAPI microservices, and modern data libraries (Polars, PySpark).

CLOUD ECOSYSTEM MULTI-CLOUD

GCP, AWS & Azure

Multi-cloud architecture design, serverless execution, distributed storage, and zero-trust cloud networking.

MICROSERVICES BACKEND

Node.js, C# .NET & Microservices

High-concurrency distributed backend services, event-driven reactive architectures, and REST / gRPC APIs.

DATABASES SQL & NoSQL

PostgreSQL, SQL Server & Mongo

ACID relational modeling, advanced query indexing, replication topologies, and document/NoSQL stores.

DEVOPS CI/CD

Docker & CI/CD

Containerization, automated build/test/deploy pipelines via GitHub Actions, and Infrastructure as Code.

Executive Channel

Let's Connect

Facing a complex technical challenge in data architecture, cloud modernization, process automation, or Applied AI implementation?

Available for enterprise projects, strategic technical advisory, and high-impact collaborations.

Direct Email (Click to copy)

me@developermark.com

linkedin.com/in/magarcia07

GitHub

github.com/devMark07

Location & Availability