About Me
I am a Data Engineer based in Brussels, with a diverse engineering background spanning over a decade. I am currently finalizing my MSc in Applied Computer Science while completing an intensive Data Engineering Masterclass focused on AWS, Big Data, and Modern Data Architectures.
My background in maintaining critical medical systems taught me the value of reliability, compliance (FDA/GDPR), and zero-downtime operations. Today, I apply that same discipline to build robust data pipelines. I specialize in Real-time Streaming (Kafka/Flink), Cloud Infrastructure, and Data Security.
Skills
Technologies I use to build reliable data pipelines.
Languages
Python (Pandas, PySpark, PyFlink), SQL (PostgreSQL, ClickHouse),Java, Bash.
Orchestration & Transformation
Apache Airflow, Docker, Kubernetes.
Streaming & Processing
Apache Kafka, Apache Flink, Spark Streaming, Debezium (CDC).
Cloud & Platforms
AWS (Glue, Athena, Lambda), GCP (BigQuery).
Monitoring & Visualization
Grafana (dashboards/alerts), Tableau.
Services
I help teams design, build, and monitor data systems from source to dashboard.
Data Pipelines
Building reliable Batch and Streaming pipelines to move data from sources to storage using Kafka & Flink.
Data Warehousing
Designing clean data models to ensure data is organized, fast, and ready for analytical queries.
Observability
Setting up Monitoring (Grafana) to catch issues early and ensure pipelines are running smoothly 24/7.
Data Quality
Implementing automated tests to ensure data is accurate, consistent, and trustworthy.
Data Visualization
Creating clear Dashboards (Tableau) to help stakeholders visualize trends and make decisions.
Experience & Training
Combining engineering discipline with modern data skills.
Training & Projects
Data Engineering Masterclass – Trainee
Dr Mohammad Fozouni · Nov 2024 – Present · RemoteIntensive, project-based Data Engineering & MLOps bootcamp. Working hands-on with PostgreSQL, ClickHouse, Apache Kafka, Apache Spark, Apache Flink, Delta Lake, Docker, Kubernetes, Apache Airflow, MLflow, Jenkins and AWS.
Capstone projects include:
– Real-time fraud detection pipeline
(Kafka, Spark, PostgreSQL, MySQL, Redis, Grafana, AWS)
– End-to-end ML model deployment with monitoring and security on the cloud
– Building a secure Rust-based message broker (CipherMQ) as a product-focused project
Professional Experience
Data Visualization & Analyst (Intern)
Orange Business · Jul 2025 – Aug 2025 · BrusselsWorked with Google Cloud Platform (GCP) and Power BI to visualize complex datasets. Supported ETL processes and created clear technical reports to help business stakeholders make decisions.
Senior Technical Service Engineer
Sina Parto Jam · Apr 2019 – Dec 2021 · TehranMaintained complex medical imaging systems with 99% uptime. Performed root-cause analysis on system logs and ensured strict compliance with FDA and local healthcare regulations.
Radiology Technician
Bu Ali Sina Hospital · Aug 2014 – Feb 2017 · HamedanOperated high-tech radiology equipment in a fast-paced clinical environment, delivering accurate results while following strict safety protocols.
Portfolio
- all
Real-Time Food Delivery
Scalable streaming architecture handling high-throughput events via Kafka & Flink.
Postgres Stream Anonymizer
Real-time GDPR masking with Debezium & PostgreSQL.
Breast Cancer ML Project
Medical classification model · Healthcare
Fraud Detection
Fault-tolerant anomaly detection pipeline using Spark Streaming & Grafana.
Banking System V2
Robust Java backend designed with Clean Architecture & OOP principles.Certifications
Selected courses and certificates that support my data engineering path.
Data Engineering: From Local Development to Server Deployment
Data Engineering School · Issued Mar 2025
CI/CD, PostgreSQL, Git & GitHub, Kubernetes, Apache Airflow, Docker, AWS, Apache Kafka, ETL.
Hands-On Essentials: Data Warehousing Workshop
Snowflake · Issued Jun 2025
Data warehousing fundamentals and best practices on the Snowflake platform.
Introduction to dbt
DataCamp · Issued Jun 2025
Analytics engineering with dbt for modular SQL transformations and testing.
Data Ingestion with Delta Lake
Databricks · Issued Apr 2025
Building reliable ingestion pipelines with Delta Lake and the Lakehouse architecture.
Data Management and Governance
Databricks · Issued Apr 2025
Data governance, access control and quality on top of the Databricks Lakehouse.
Foundational Cloud Practitioner
Maktabkhooneh · Issued Mar 2025
Core cloud concepts, security and cost-awareness for modern cloud platforms.
Machine Learning
Coursera · Issued Jun 2021
Classical ML algorithms, logistic regression, neural networks and model evaluation.
Advanced Python Programming
Maktabkhooneh · Issued Apr 2021
Advanced Python for data processing, scripting and backend development.
Get in Touch with Saeid
Prefer email? saeidshahriari1@gmail.com