SM
Soheil Moosavi
Data Platform Engineer — Aarhus, Denmark
Aarhus, Denmark · Data Infrastructure

Data platforms built for zero downtime.

Senior Data Platform Engineer with 10+ years running mission-critical infrastructure — from a 30M-user banking core processing 20M+ daily transactions to cloud-native Lakehouse platforms.

Currently
View experience Get in touch
0+
Years in production
0M+
Daily transactions
0M+
Users served
DATA PLATFORM · RELIABILITY · SCALE · 
Soheil Moosavi — Data Platform Engineer
Soheil Moosavi
Data Platform Engineer
soheil@platform: ~/pipeline Healthy
Azure Databricks Platform Architect badge Azure Databricks Platform Architect Verified credential — view on Databricks
How I think about data Streaming live
Banking Core 20M+ txn / day SAP / ERP logistics & ops Medallion Lakehouse bronze → silver → gold · validated Analytics & BI fresh · governed ML & AI Platforms model-ready data
Working across the modern data stack
A decade in numbers

Scale you can
measure

0M+
Daily transactions
Financial data flows owned end-to-end, every day, with zero tolerance for loss.
0M+
Banking users
A systemic bank with 3,000+ branches depending on the platform around the clock.
0%
Fewer incidents
Automation and validation pipelines that cut data-related production incidents.
24/7
Production uptime
Mission-critical operations with proactive observability — boring at 3AM, by design.
The story

A decade of systems
that cannot fail

For nearly a decade I worked inside a systemic bank — 3,000+ branches, 30M+ users, 20M+ transactions a day — where a broken pipeline isn't a bug ticket, it's a front-page incident. That environment shaped how I build: automated, observable, and reliably boring at 3AM. Today I bring that production-first DNA to cloud-native Lakehouse platforms and modern DataOps.

Zero data loss

Owned financial data flows where loss tolerance was exactly zero — accuracy and freshness for 20M+ daily transactions, 24/7.

Automate everything

Airflow, Jenkins, and Git pipelines with robust validation — manual effort and production incidents reduced by 40%+.

Observe before it breaks

Prometheus, Grafana, and Splunk wired into lineage and alerting — incidents resolved before users ever notice.

Cloud-native by default

Workloads shifted to Kubernetes across VM infrastructure and AWS — provisioned with Terraform and Ansible.

Banking · Retail · Energy Aarhus, Denmark Mission-critical · 24/7
Experience

Where scale
was real

Two environments, one common thread: production data that businesses depend on every minute.

Novin Hi-Tech Solutions Agri-Bank — Finance Domain
Nov 2015 — Aug 2024
Full-time · 8.8 years
Data Platform Engineer — 24/7 production environment
30M+
Users
20M+
Daily transactions
3,000+
Branches
−40%
Incidents
24/7
Uptime

Time-critical data operations

Owned large-scale financial data flows in 24/7 production with zero tolerance for data loss — high accuracy and freshness at 20M+ daily transactions.

SQL & Medallion engineering

Designed and optimized complex SQL/Python workflows, schemas, and Medallion architecture components — reducing query latency across core systems.

Data automation & CI/CD

Automated pipelines and validation checks via Airflow, Jenkins, and Git — manual effort and production incidents down 40%+.

Containerized infrastructure

Shifted data workloads to Kubernetes across VM-based infrastructure and AWS Cloud, using Ansible and Terraform for resilient operations.

Production observability

Proactive monitoring, lineage tracking, and alerting via Prometheus, Grafana, and Splunk — shorter resolution times, strict quality standards.

Database architecture

Deep optimization and schema management across MS SQL, PostgreSQL, and Oracle in multi-tenant, production-level environments.

SQL ServerPostgreSQLOracle PythonAirflowJenkins KubernetesDockerAWS TerraformAnsiblePrometheus GrafanaSplunkGit
Zarrin Roya Co Leading FMCG Manufacturer — SAP Infrastructure
Sep 2024 — Present
Freelance · Remote
Data Platform Engineer — remote engagement
1,000+
Employees
20+
Logistics hubs
60%
Market share
SAP
Enterprise core

Industrial data pipelines

Built and optimized robust ETL/ELT pipelines moving large-scale production and logistics data from SAP into central data environments with high reliability.

Backend & API integration

Integrated backend components with ORM and scripting to streamline daily operational reporting and inventory tracking processes.

Data automation

Automated extraction and transformation with SQL and scripting — manual operational workload significantly reduced.

Operational reliability

Timely, consistent data availability for supply-chain processes across 20+ logistics hubs nationwide.

SAPETL/ELTSQL PythonFastAPIORM Node.jsSupply-chain data
Selected project

Built in the
open

An end-to-end Databricks platform built with production engineering practices — not a notebook demo.

Wander Data Platform End-to-end Lakehouse platform on Databricks
Active development View repo

A production-oriented data platform that processes travel booking data through a governed Medallion Architecture into analytics-ready Gold data products. Built with Databricks, Lakeflow, Unity Catalog, and PySpark, deployed through Declarative Automation Bundles, and consumed via an interactive Databricks SQL dashboard.

249.98K
Validated bookings
$138M
Total revenue tracked
$551.63
Avg booking value
9
Data quality rules
Medallion architecture
Wanderbricks source dataset Bronze raw, source-aligned Silver validated · quality Quarantine Gold daily business metrics Databricks SQL analytics dashboard
Wander Booking Analytics — Databricks SQL Dashboard
Wander Booking Analytics dashboard showing bookings, revenue, geographic distribution and daily trends

Governed Medallion Architecture

Bronze ingestion, Silver validation, and Gold aggregation under Unity Catalog, with source data kept strictly read-only.

Data quality as a first-class layer

Nine expectations covering nullability, date logic, guest counts, monetary values, and allowed booking statuses.

Quarantine for rejected records

Invalid rows are isolated from trusted datasets and preserved for investigation instead of silently dropped.

Contract-based data definitions

A versioned bookings contract documents primary keys, column types, nullability, constraints, and entity relationships.

Deployment as code

Databricks Declarative Automation Bundles with separate DEV and PROD targets and environment-specific catalogs and schemas.

Automated testing & Git workflow

pytest unit tests and bundle validation run before deployment, driven by a feature-branch Git workflow.

DatabricksLakeflowUnity Catalog PySparkDelta LakeDatabricks SQL PythonSQLAsset Bundles Databricks CLIpytestuv GitData Contracts
Expertise

Full-stack
data platform skills

From pipeline architecture to cloud orchestration — the entire modern data platform, end to end.

/ 01

Data Engineering

Pipelines · Lakehouse · Medallion
SQL Python ETL / ELT Medallion Architecture Lakehouse Batch Processing Streaming Data Pipelines Data Modeling
/ 02

Cloud Platforms

Azure · AWS · Modern data
Azure AWS GCP Databricks Snowflake ADLS Blob Storage S3 Apache Airflow
/ 03

Platform Engineering

IaC · Containers · Linux
Kubernetes Docker Terraform Ansible Linux LPIC Bash
/ 04

DataOps & Reliability

CI/CD · Observability · Quality
Git CI/CD Jenkins Prometheus Grafana Splunk Data Quality Data Lineage Monitoring Alerting
/ 05

Databases

OLTP · OLAP · Multi-tenant
SQL Server PostgreSQL Oracle Database Multi-Tenancy Schema Design Query Optimization Performance Tuning OLTP OLAP
/ 06

Backend Engineering

APIs · Integration · Agile
FastAPI Node.js ORMs API Integration Backend Services Agile Collaboration
Credentials

Validated by
the industry

2023

IBM Data Science Professional

IBM — Professional Certificate
PythonSQLData AnalysisVisualizationMLCapstone
Microsoft

Azure Administrator Associate

Microsoft Certified
AzureCloud InfraIAMNetworkingStorage
2024

OCI Architect Professional

Oracle Cloud Infrastructure
ArchitectureSecurityNetworking
Databases

Database Certifications

Microsoft · Oracle · EDB
SQL Server 2022Oracle 19cPostgreSQL (EDB)
LPI

Linux & Platform Foundations

LPIC-1 · LPIC-2 · DevOps
LPIC-1LPIC-2DevOps CoursesBash
Ops

Monitoring Systems

Platform & Automation Foundations
ZabbixMonitoringAutomation
Foundation

Education &
languages

2013 — 2015
Master of Business Administration

MBA — bridging engineering and business strategy.

2006 — 2010
Bachelor of ICT Engineering

Information & Communication Technology.

🇬🇧
English
Full professional proficiency
🇩🇰
Danish
Intermediate · Dansk 3
🇮🇷
Persian
Native
Get in touch

Let's build something
that doesn't break.

Open to senior data platform roles. If your data infrastructure needs to be reliable, observable, and built for scale — let's talk.

soheilmoosavi@outlook.dk LinkedIn
Phone
+45 50 15 00 50
LinkedIn
/in/soheil-moosavi
Location
Aarhus, Denmark