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Senior Data Engineer and Data Platform Architect with 6+ years of experience building and operating large-scale batch and streaming data systems across Azure, AWS and GCP. Hands-on experience with Databricks, Spark, Snowflake, Airflow and Kafka, including platforms processing more than 1PB of LiDAR data, 300M+ product events, and high-volume utility and IoT device data. Strong DevOps background covering Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability and production operations. Comfortable owning systems end to end, from architecture and data modelling through implementation, deployment, reliability and cost optimisation.…Senior Data Engineer and Data Platform Architect with 6+ years of experience building and operating large-scale batch and streaming data systems across Azure, AWS and GCP. Hands-on experience with Databricks, Spark, Snowflake, Airflow and Kafka, including platforms processing more than 1PB of LiDAR data, 300M+ product events, and high-volume utility and IoT device data. Strong DevOps background covering Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability and production operations. Comfortable owning systems end to end, from architecture and data modelling through implementation, deployment, reliability and cost optimisation.

Adam Tran

Data Engineer, Software Engineer, Data Scientist, +2

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Senior Data Engineer and Data Platform Architect with 6+ years of experience building and operating large-scale batch and streaming data systems across Azure, AWS and GCP. Hands-on experience with Databricks, Spark, Snowflake, Airflow and Kafka, including platforms processing more than 1PB of LiDAR data, 300M+ product events, and high-volume utility and IoT device data. Strong DevOps background covering Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability and production operations. Comfortable owning systems end to end, from architecture and data modelling through implementation, deployment, reliability and cost optimisation.…Senior Data Engineer and Data Platform Architect with 6+ years of experience building and operating large-scale batch and streaming data systems across Azure, AWS and GCP. Hands-on experience with Databricks, Spark, Snowflake, Airflow and Kafka, including platforms processing more than 1PB of LiDAR data, 300M+ product events, and high-volume utility and IoT device data. Strong DevOps background covering Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability and production operations. Comfortable owning systems end to end, from architecture and data modelling through implementation, deployment, reliability and cost optimisation.

Available to hire

Senior Data Engineer and Data Platform Architect with 6+ years of experience building and operating large-scale batch and streaming data systems across Azure, AWS and GCP. Hands-on experience with Databricks, Spark, Snowflake, Airflow and Kafka, including platforms processing more than 1PB of LiDAR data, 300M+ product events, and high-volume utility and IoT device data.

Strong DevOps background covering Kubernetes, Terraform, Helm, Argo CD, CI/CD, observability and production operations. Comfortable owning systems end to end, from architecture and data modelling through implementation, deployment, reliability and cost optimisation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Hungarian

Fluent

French

Intermediate

Work Experience

Senior Data Engineer at Itron Labs LLC

July 1, 2026 - Present

Work with the Grid Planning team on data products used by utilities, cities and municipalities. Contribute to migration of electrical grid data and workflows from Azure PostgreSQL to Snowflake. Develop and improve PowerFlow data pipelines for grid capacity analysis, infrastructure planning, and issue identification. Build synthetic data generation workflows and strengthen pipelines through validation, recoverability, and operational robustness. Develop within a large Java/Spring Boot platform supporting firmware upgrade orchestration across utility device fleets, including long-running stateful workflows with scheduling, retries, device status tracking, audit history, and completion reporting. Maintain integrations for device discovery, command dispatch, and gateway-based firmware delivery. Contribute to Maven/Jenkins release pipelines, TestNG integration testing, device simulation, environment configuration, SSL/TLS setup, structured logging, and production diagnostics.

Senior Data Consultant (Contract) at Magyar Telekom Plc

October 1, 2025 - July 1, 2026

Engaged on a data-platform project building a metadata-driven ingestion framework on Google Cloud. Developed a metadata-driven ingestion platform enabling teams to onboard batch and streaming sources through configuration rather than source-specific code. Built dynamic Cloud Composer/Airflow pipelines and metadata services using Python, FastAPI, Cloud Run, Cloud SQL, GCS, and Eventarc. Developed JDBC ingestion workflows for Oracle, Microsoft SQL Server, and PostgreSQL, including schema mapping and incremental high-watermark processing. Supported Kafka-to-BigQuery streaming ingestion using Dataproc, PySpark, Spark Structured Streaming, checkpointing, and offset tracking. Contributed to observability, security, and governance using structured logging, CMEK, Secret Manager, pseudonymization, and BigQuery dynamic data masking.

Senior Data Architect at Greehill Europe Ltd

January 1, 2025 - July 1, 2026

Enhanced Azure-based Airflow-on-Kubernetes deployments to improve pipeline fault tolerance via reproducible task design, robust monitoring, and systematized backfills. Managed end-to-end data pipelines for 1PB+ of total LiDAR data across 300+ projects (avg 10TB per project). Built REST APIs with FastAPI and PostgreSQL, handling data modeling and migrations via SQLAlchemy/SQLModel. Introduced OAuth/OIDC, federated identities, service accounts, and a dedicated user management service. Built finance analytics and forecasting pipelines. Added RabbitMQ-based CQRS communication between backend services. Introduced LGTM observability for pipeline jobs and streamlined storage costs. Sustained Kubernetes workloads using Argo CD, Helm charts, and Terraform. Mentored engineers and contributed to hiring; represented company at Craft Conference 2025.

Senior Data Consultant (Contract) at BDO Hungary

January 1, 2024 - December 1, 2024

Built a daily Medallion-style batch pipeline for ride-hailing market defense analytics, ingesting telemetry, ride events, and payment logs from ADLS Gen2 into PostgreSQL. Modeled driver liquidity, earning velocity, and incentive performance to separate bonus impact from wasted spend. Used H3 geospatial indexing to detect fleet anomalies such as airport phantom queuing, GPS stagnation, offer timeouts, and multi-apping behavior. Built an operational-financial reconciliation pipeline for a 17-property hotel group, replacing Excel-based audits with centralized anomaly detection. Integrated OPERA Cloud PMS, monday.com GraphQL, and Odoo XML-RPC APIs into Airflow-orchestrated ingestion workflows on Kubernetes. Developed PySpark jobs on Azure Databricks to flatten nested JSON/XML payloads and apply regex-based fuzzy matching. Delivered Power BI reporting layers for reconciliation, leakage detection, and management review.

Founder at Chimera Solutions Ltd

March 1, 2023 - December 1, 2024

Built a LiDAR-based tree measurement platform including custom capture workflows, data labeling, PyTorch segmentation, and a Streamlit review UI deployed on Azure with per-tree metric generation. Produced municipal tree reports from model outputs and measurement data. Directed client relations and delivery planning; prepared fundraising meetings, investor updates, and product demos. Prototyped a Neural Radiance Fields pipeline for reconstructing point clouds from video. Built a bartender app with React/Next.js/NextAuth.js using SQLite for testing data and PostgreSQL for production.

Data Engineer at Shapr3D Ltd

January 1, 2023 - March 1, 2024

Upheld production ETL/ELT pipelines on AWS and Databricks with Managed Airflow, Spark SQL, Delta Tables, S3, Lambda, EC2, CloudFormation, and IAM. Improved Spark jobs over ~300M business events, enhancing runtime, reliability, and resource usage. Built Medallion-style pipelines on Databricks, including Kafka-based app event ingestion into Delta Tables. Built datasets for retention, MRR, ARR, financial KPIs, and business event analysis. Enforced alerting, data quality checks, SLAs, and staging environments for production workflows. Streamlined ingestion by integrating Rivery. Mentored newcomers on processes and engineering culture.

Machine Learning Engineer at Bosch Ltd

June 1, 2022 - January 1, 2023

Researched and applied binary blockage segmentation and object detection using PyTorch. Curated and labeled datasets; trained models on on-prem and Azure ML; tracked experiments in Weights & Biases and presented model behavior and failure modes. Deployed production ML models; documented metrics and edge cases. Delivered control-related projects for grid batteries and intelligent energy management solutions.

Backend Engineer at Binergy Ltd

December 1, 2020 - December 1, 2021

Rewrote legacy Python services in Scala, improving throughput by ~10x while reducing resource usage. Engineered systematized deduplication workflows using cosine similarity and batch processing to ensure data integrity across a large-scale client database.