Hi, I'm Fatemeh Haeri. I am a data engineer and streaming platform engineer with 8+ years of experience designing, building, and operating large-scale data and event-streaming platforms in enterprise environments. I have strong expertise in Kafka, Confluent Cloud, Flink SQL, and cloud-native data pipelines, and I have led end-to-end design, implementation, and governance for resilient data infrastructure. I enjoy turning complex data challenges into scalable, reliable solutions and collaborating across cross-functional teams.

Fatemeh Haeri

Hi, I'm Fatemeh Haeri. I am a data engineer and streaming platform engineer with 8+ years of experience designing, building, and operating large-scale data and event-streaming platforms in enterprise environments. I have strong expertise in Kafka, Confluent Cloud, Flink SQL, and cloud-native data pipelines, and I have led end-to-end design, implementation, and governance for resilient data infrastructure. I enjoy turning complex data challenges into scalable, reliable solutions and collaborating across cross-functional teams.

Available to hire

Hi, I’m Fatemeh Haeri. I am a data engineer and streaming platform engineer with 8+ years of experience designing, building, and operating large-scale data and event-streaming platforms in enterprise environments.

I have strong expertise in Kafka, Confluent Cloud, Flink SQL, and cloud-native data pipelines, and I have led end-to-end design, implementation, and governance for resilient data infrastructure. I enjoy turning complex data challenges into scalable, reliable solutions and collaborating across cross-functional teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Persian
Advanced

Work Experience

Kafka Engineer | Streaming Platform Engineer at Synergy (Electricity Generation and Retail Corporation)
September 1, 2025 - Present
Designed and operated enterprise Kafka platform(s) supporting high-volume, low-latency event streaming for DRER use cases. Provisioned and managed Confluent Cloud and self-hosted Kafka clusters, ensuring high availability, fault tolerance, and production parity. Built and governed Kafka topics and Avro/JSON schemas, enforcing Schema Registry compatibility and data contracts. Managed Kafka Connect lifecycle, including configuration, upgrades, rollbacks, and production incident remediation. Designed and supported Flink SQL streaming pipelines running on Confluent compute pools for real-time transformation and aggregation. Implemented GitOps-based CI/CD pipelines using Terraform, Terragrunt, GitHub Actions, and Argo CD to automate Kafka and Flink deployments. Implemented DLQ and error-handling strategies to improve platform resilience and operational stability. Managed Kafka security including service accounts, ACLs/RBAC, secrets, and private network connectivity.
Data Engineer at RMT - Risk Management Technology
November 1, 2024 - August 1, 2025
Designed, developed, and maintained reliable data pipelines and ETL processes supporting core business systems. Developed Python-based data processing solutions for batch and analytical workloads. Monitored and optimized pipeline performance, reliability, and scalability across production environments. Proactively identified and resolved technical bottlenecks, improving operational stability. Collaborated with cross-functional stakeholders to translate business requirements into technical solutions.
Data Engineer at Charisma Financial Services Group
June 1, 2021 - September 1, 2024
Designed and implemented ETL pipelines across multiple structured and semi-structured data sources, ensuring data quality and consistency. Built main Python-based data processing solutions for batch and analytical workloads. Monitored and optimized pipeline performance, reliability, and scalability across production environments. Proactively identified and resolved technical bottlenecks, improving operational stability. Collaborated with cross-functional stakeholders to translate business requirements into technical solutions.
Business Intelligence Developer at SON Corporate Group
September 1, 2016 - September 1, 2019
Designed and implemented OLAP cubes, ETL pipelines, and KPIs to support enterprise reporting and decision-making. Developed dashboards and BI reports to enable data-driven decisions across business units.
Data Engineer at RMT - Risk Management Technologies
November 1, 2024 - August 1, 2025
Designed, developed, and maintained reliable data pipelines and ETL processes supporting core business systems. Implemented Kafka-based streaming pipelines, data contracts, and security measures; led CI/CD automation for deployments using Terraform, GitHub Actions, and Argo CD.
Data Engineer at Synergy (Electricity Generation and Retail Corporation)
November 1, 2024 - August 1, 2025
Designed and operated enterprise Kafka-based streaming platforms for high-volume, low-latency event streaming for DER use cases. Built and governed Kafka topics, Avro/JSON schemas, and data contracts; managed Kafka Connect lifecycle; implemented Flink SQL pipelines on Confluent cloud.
Data Engineer at Parto Tap Rayan
September 1, 2019 - June 1, 2021
Designed and implemented real-time IoT data pipelines; used MongoDB and InfluxDB for high-throughput time-series data; orchestrated data workflows with Airflow; built real-time processing jobs leveraging Python.

Education

Bachelor of Computer Software Engineering at University of Science and Culture, Tehran, Iran
January 11, 2030 - January 8, 2026
Associate Degree in Computer Software Engineering at Narjes Technical College, Tehran, Iran
January 11, 2030 - January 8, 2026
Bachelor of Computer Software Engineering at University of Science and Culture, Tehran, Iran
January 11, 2030 - January 9, 2026
Associate Degree in Computer Software Engineering at Narjes Technical College, Tehran, Iran
January 11, 2030 - January 9, 2026

Qualifications

Microsoft Azure Databricks for Data Engineering
January 11, 2030 - January 9, 2026

Industry Experience

Software & Internet, Professional Services, Financial Services, Energy & Utilities, Media & Entertainment