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Mehdi Pourhadi

@mehdipourhadi

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Senior Data Engineer specializing in high-throughput data platforms, distributed systems, and reliable ELT pipelines.

Turkey

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What I'm looking for

I’m open to remote and B2B contract work where I can build reliable, observable data platforms—owned end-to-end—from ingestion and ELT orchestration to migrations, governance, and regulatory reporting—while moving into cloud-native, lakehouse tooling.

I’m a Senior Data Engineer with 10+ years of end-to-end production experience across data pipelines, enterprise databases, distributed systems, and platform operations. I built and operated high-throughput data platforms in regulated industries like fintech and telecommunications, focusing on measurable performance gains in migration, ingestion, and pipeline reliability.

I’ve worked across the full data stack—from Oracle and MongoDB DBA roots through PySpark-based big data processing to Airflow-orchestrated ELT pipelines. Recently at Snapp, I engineered high-throughput data validation tooling (~2M rows per minute), led automated legacy-to-modern data migration with end-to-end integrity, and built secure database backup pipelines that reduced storage footprint by ~38% while preserving performance and data integrity.

I also emphasize operational excellence: I established centralized database observability with monitoring dashboards to enable proactive performance and reliability management, and I standardized platform tooling by containerizing core engineering services with Docker Compose. I’m currently expanding into cloud-native data engineering and modern lakehouse tooling, while staying grounded in practical platform reliability, observability, and cross-team delivery.

Experience

Work history, roles, and key accomplishments

Data Platform Engineer

Snapp

Dec 2024 - Apr 2026 (1 year 4 months)

Built high-throughput data validation tooling to detect schema- and row-level differences at ~2M rows/min using parallel processing. Led secure legacy-to-modern migration pipelines and automated encrypted backup pipelines, reducing storage footprint by ~38% while preserving performance and integrity.

Data Validation Schema Data Migration Database Backup Automation Data Observability Docker Compose

Data Engineer

Blu Bank

Mar 2023 - Dec 2024 (1 year 9 months)

Owned production ETL/ELT pipelines for core financial datasets and delivered analytics-ready datasets for internal reporting and banking partners. Implemented scalable distributed data processing for secure sharing and built AML regulatory reporting pipelines including STRs with audit-accurate rolling deposit turnover calculations.

ETL ELT Data Pipelines Distributed Data Processing Financial Data Engineering Data Modeling Data Sharing Temporal Windowing Data Quality

Big Data Engineer/DBA

MCI (BRTech)

Sep 2022 - Mar 2023 (6 months)

Led large-scale database migrations using optimized strategies, reducing transfer time by ~42%. Executed Oracle-to-Hadoop migrations of ~3B records (~1.5TB) with PySpark and ingestion optimizations, cutting migration time by ~37%, while operating Hive/HDFS-based production platforms.

Data Migration Pyspark Apache Hadoop Apache Hive HDFS

SysOps/Backend Engineer

MTN Irancell (Ariana)

Sep 2020 - Sep 2022 (2 years)

Operated production backend services and deployment/runtime environments for Django-based systems, ensuring stable service delivery. Optimized MySQL-to-PostgreSQL migration performance by ~23% and automated infrastructure discovery and operational workflows, improving operational visibility and execution efficiency by ~26%.

Django Backend Services Database Migration MySQL PostgreSQL Infrastructure Automation Automated Testing

Senior Database Engineer

MTN Irancell (Tecnotree)

Dec 2016 - Dec 2019 (3 years)

Optimized execution plans for large-scale production databases, improving performance by up to ~66% across relational and document data stores. Built and operated high-volume ingestion/reporting pipelines processing 500GB+ datasets and automated ETL/reporting to reduce delivery time by ~22% while ensuring availability and capacity stability for multi-terabyte NoSQL workloads.

Query Optimization Execution Plans ETL Data Ingestion Pipeline Reporting NoSQL Administration Performance Tuning capacity management

Database Engineer (Oracle)

Atos (Iran Nara)

May 2014 - Dec 2016 (2 years 7 months)

Deployed and operated near–real-time database replication pipelines for data warehouse analytical workloads. Led backup, restore, and recovery strategy work and performed database cloning/migration workflows that reduced environment provisioning and migration time by up to ~58%, including log processing for real-time observability.

Database Replication Strategies Backup And Recovery Data Warehouse Observability