Data Engineer with 3+ years of experience in analyzing, developing, managing, and implementing Data Lakehouses, Data Pipelines, and Data Marts. Proficient in utilizing PySpark, Python and SQL to build Data Platforms with automated CI/CD Pipelines in cloud environments such as Azure Databricks, Google Cloud Platform and Palantir Foundry. Motivated to develop and optimize data pipelines for enhanced performance and efficiency. Successful track record of migrating legacy pipelines in the cloud using PySpark, resulting in reduced costs and improved performance. Enthusiastic about researching and promoting innovative technologies and methodologies.I have:- Migrated existing legacy data pipeline solutions to Apache Spark and Apache Beam for new requirements and scalability, resulting in 50% costs and running time- Designed and developed a solution with reusable IAC and CI/CD that was then implemented and deployed in several other projects- Mentored interns that have successfully joined projects as qualified Data Engineers
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Senior Big Data EngineerN-IxTbilisi, Georgia -
Data EngineerTbc Oct 2023 - PresentTbilisi, Georgia• Developed a scalable Data Lakehouse using Data Vault architecture on Azure Databricks to streamline data storage and processing for company-wide analytics capabilities.• Developed and managed ETL processes using Azure Data Factory and Azure Databricks, automating data ingestion from various sources, including transactional databases, APIs, FTP servers.• Collaborated with cross-functional teams and stakeholders to define data requirements, ensuring alignment with business goals and compliance standards in the banking industry and the internal platforms.• Developed a reusable performance monitoring data platform for multiple teams to identify bottlenecks and necessary optimization strategies in over 300+ pipelines, resulting in a 30% reduction in processing time, and costs on average. • Integrated Unit Tests and Data Quality checks in CI and Data Pipelines across different layers of the Medallion Architecture for the Lakehouse platform -
Data EngineerSweeft Digital | A Making Science Company Jul 2021 - Oct 2023Tbilisi, Georgia• Developed an analytical and visualization platform for automatically ingestingdata to and from multiple marketing sources.• Designed, developed, built and deployed numerous and reusable data pipelinesusing serverless and serverful technologies on Google Cloud Platform.• Developed and maintained Data Lakes and Warehouses on Google CloudPlatform.• Utilized best practices to support continuous process automation for dataingestion and data pipeline workflows.• Developed reusable CI/CD workflows and IAC for data pipelines using Terraformand Cloud Build.• Continually explored new technologies in an effort to always grow and uncoverbetter ways to solve problems.• Worked closely with stakeholders across departments to design, build anddeploy various initiatives within the data platform.• Mentored interns aiming to become Data Engineers.
Nikoloz Chkheidze Education Details
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Mathematics And Computer Science -
High School/Secondary Diplomas And Certificates
Frequently Asked Questions about Nikoloz Chkheidze
What company does Nikoloz Chkheidze work for?
Nikoloz Chkheidze works for N-Ix
What is Nikoloz Chkheidze's role at the current company?
Nikoloz Chkheidze's current role is Senior Big Data Engineer.
What schools did Nikoloz Chkheidze attend?
Nikoloz Chkheidze attended Free University Of Tbilisi, Komarovi Campus School.
Who are Nikoloz Chkheidze's colleagues?
Nikoloz Chkheidze's colleagues are Taras Mahur, Dmytro Martsenyshen, Maxim Gorbatyuk, Ilya Mazin, Hanii 92, Marianna Slyusarchuk, Olha Kononchuk.
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Nikoloz Chkheidze
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