Giorgi Khitarishvili

About

Senior Data Engineer with 7+ years building production data platforms for European enterprise clients, primarily on GCP. Strong technical lead experience migrating legacy on-prem data stacks to modern cloud-native analytics (BigQuery, dbt, Airflow/Cloud Composer, PySpark/Dataproc replacement) with major cost and runtime reductions, plus full-stack ownership of dbt analytics layers, CI/CD, and Terraform-managed infrastructure. Open to remote senior roles across EU/UK/US time zones, specializing in cloud migrations, PySpark/dbt pipelines, and BigQuery cost optimization.

Experience

• Senior Data Engineer · T-Systems09-01-2023

  • As technical lead, migrated PySpark batch jobs to dbt on BigQuery, cut monthly compute cost from ~$30,000 to ~$200 (99% reduction), and reduced pipeline runtime from ~2 hours to under 10 minutes, by replacing Dataproc with dbt incremental models and BigQuery-optimized SQL. • Led the end-to-end migration of the same client's legacy Cloudera (CDSW) data platform — HDFS, Hive, Impala to GCP (Dataproc, Cloud Composer, BigQuery, Cloud Storage), with zero production downtime and improved reliability. • Built and own the dbt analytics layer in BigQuery: incremental models, automated data-quality tests, full lineage, and CI/CD through GitLab pipelines. • Refactored complex Hive and Impala queries into BigQuery-native SQL during migration, eliminating compatibility issues and improving query performance and cost efficiency. • Established CI/CD discipline across the data team: GitLab pipelines for dbt deploys, PySpark unit testing, and Terraform-managed GCP infrastructure. • Mentored junior engineers on PySpark optimization, BigQuery cost modeling, and GCP-native patterns through code reviews and internal knowledge-sharing sessions.

• Data Engineer · Making Science12-01-2020 – 09-30-2023

  • Designed and built GCP-native ETL services for client analytics platforms using BigQuery, Data Fusion, Cloud Run, Cloud Functions, with Cloud Composer for orchestration. • Developed scalable RESTful APIs with FastAPI to expose data services to downstream applications, improving end-to-end performance. • Embedded data-quality validation directly into ETL pipelines to ensure accurate, reliable delivery to business stakeholders. • Solved complex domain logic for bus transportation analytics, integrating disparate operational data sources into a unified reporting layer. • Wrote client-facing technical documentation and architecture diagrams; led code reviews to maintain engineering quality standards.

• Data Engineer (Concurrent, Part-time) · CYINT L.L.C11-01-2020 – 04-30-2021

  • Designed PostgreSQL database models and tuned performance through indexing and query optimization for analytical workloads. • Built Python and PostgreSQL data processing pipelines tailored to client requirements; containerized workflows with Docker. • Used AWS (Redshift, EC2) for data transformation and analysis, ensuring scalable and reliable processing.

• Python Software Engineer · Odeosoft05-01-2020 – 11-30-2020

  • Developed and maintained Odoo modules for HR functions (payroll, attendance) using Python, Odoo RPC, and PostgreSQL. • Automated Odoo module deployments with Docker, reducing release errors and improving deployment reliability across environments. • Optimized database queries and implemented caching mechanisms tailored to Odoo, improving overall system performance.

• Python Developer · Institute of Earth Sciences11-01-2018 – 05-31-2020

  • Built Python automation scripts for earthquake data processing and seismology software configuration, improving operational efficiency. • Developed a custom monitoring system for earthquake activity and network status, with automated alerting and troubleshooting workflows. • Optimized data visualization performance for moment tensor calculation libraries used in earthquake data analysis.

Education

• Tbilisi Technical UniversityBachelor's Degree in Information Technology, Information Technology

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