Hello, I'm Sebastian
Bridging Architecture, Data, and Cloud Engineering.
I specialize in designing and implementing scalable, resilient, and cost-optimized platforms. My focus is on transforming complex business requirements into elegant, cloud-native solutions that handle high-volume data ingestion and processing with architectural integrity.
Core Expertise: The Three Pillars
Software Architecture
- Design Patterns: Microservices, Event-Driven Architecture (EDA), DDD.
- Resilience: Circuit Breakers, Bulkheads, Retries, Observability.
- Tech Stack: Go, Python, Node.js, REST/gRPC.
Data Engineering
- Pipelines: ELT/ETL, Data Warehousing (Redshift, Athena).
- Big Data: Spark/Glue, Trino/Athena, Apache Iceberg, Parquet, Orchestration.
- Modeling: Dimensional Modeling (Kimball).
Cloud Engineering (IaaC)
- Providers: AWS (Lambda, S3, Glue, Redshift, Athena, EC2), GCP.
- IaC: CDK, Pulumi, CloudFormation.
- DevOps: GitLab CI/CD, Docker, Administration.
Key Technical Highlights
Let me know about which topic to talk about. Drag and drop to reorder items.
Serverless API Platform (Cloud & Architecture)
Designed and deployed a highly available, serverless platform using AWS Lambda and API Gateway, handling over 1 million requests per day. Implemented a zero-downtime deployment strategy via Terraform.
Real-Time Data Ingestion System (Data & Architecture)
Engineered a Kafka/Spark Streaming pipeline to ingest and process 500GB of transactional data daily with latency under 5 seconds. Utilized Parquet formatting for efficient storage in S3.
CI/CD Pipeline for Kubernetes Microservices (Cloud & Arch)
Implemented a full GitOps CI/CD pipeline using ArgoCD and GitHub Actions to automate deployment of 15+ microservices onto an EKS cluster, reducing deployment time from 30 minutes to under 5 minutes.
Data Lake Governance and Security Framework (Data & Arch)
Established a data governance framework for a multi-tenant data lake in GCP (using GCS and BigQuery), ensuring compliance (e.g., GDPR) through row-level security and automated PII masking mechanisms.
Multi-Cloud Disaster Recovery Strategy (Architecture)
Defined and tested a multi-region disaster recovery plan using an active/passive setup across two major cloud providers, achieving an RPO of 1 hour and RTO of 4 hours.
Automated Cost Optimization Tool (Cloud & Data)
Developed a Python utility that analyzes cloud resource usage logs, identifies underutilized resources (S3, EC2), and automatically generates optimization tickets, saving the company ~15% on monthly spend.
Ready to Build the Future?
If your team needs a strategic engineer focused on scalable architecture, robust data pipelines, and optimized cloud environments, let's connect.