ChartMogul (https://chartmogul.com)

Engineering Manager - Infra team (July 2023 - present)

  • Managing the Infra & Data team, shaping the company’s data strategy and architecture to support business growth.
  • Streamlined vendor evaluation and negotiation processes, optimized infrastructure costs, and introduced new procedures to enhance data quality and ensure service stability.
  • Conceptualized, and successfully led the team to migrate ChartMogul’s customer-facing analytics from Postgres to Clickhouse, resulting in a 50% improvement in query performance and the elimination of timeouts for large accounts.
  • Coordinated multiple Postgres migrations and optimizations.

Engineering Manager - Data engineering team (Aug 2021 - June 2023)

  • Created the Data Engineering team.
  • Set up, and implemented the data analytics stack, including setting up the Snowflake data warehouse, ETL workflows, CDC, and data transformations using dbt.
  • Proactively suggested innovative data product ideas to management, secured buy-in, and successfully led and implemented solutions.

Technology stack: Python, FastAPI, Clickhouse, Snowflake, dbt, Superset, HEX, Segment, Kafka, Kafka Connect, Debezium, AWS, EKS, RDS Postgres, S3, Lambdas, Step Functions, Glue, MSK

Optasia (https://optasia.com)

Data Engineering Manager (Nov 2020 - Aug 2021)

  • Managed the Data Engineering team, and oversaw the execution of 40+ big data projects.
  • Defined and implemented the company’s data stack modernization, introducing state-of-the-art tools and processes to enhance scalability and efficiency.
  • Achieved a 5x reduction in ETL workflows’ execution time, enabling the business to train and deploy ML models twice as fast.
  • Coordinated the upgrade of 5 self-hosted Hadoop clusters with 200 terabytes of data.

Technology stack: Scala, Python, Spark, Streamlit, Hadoop, HBase, Airflow, NiFi, PostgreSQL, Clickhouse

Workable (https://www.workable.com)

Lead Data Engineer (Mar 2020 - Oct 2020)

  • Led the Data Management team.
  • Optimised ETL processes execution time and achieved 10x improvement in data freshness.
  • Championed data openness by implementing self-service data platforms and centralized data cataloging tools to enhance discoverability and accessibility.

Technology stack: Python, Airflow, Redshift, BigQuery, Tableau, AWS, GCP, EKS, S3, RDS Postgres

VAIX (https://vaix.ai)

Data Architect (Jul 2017 - Mar 2020)

  • Employee #7, founded the Data Engineering team, instrumental in scaling the company’s services to support multiple major customers.
  • Designed and deployed the data engineering stack to integrate seamlessly with various heterogeneous customer data sources.
  • Implemented systems to batch and stream process terabytes of daily data, orchestrating all data and machine learning workflows efficiently.
  • Developed the API backend for the recommendation system.

Technology stack: Python, Java, Scala, Spark, Flink, Kafka, Kafka Connect, Airflow, Hadoop, PostgreSQL, MongoDB, ElasticSearch, Clickhouse, Django, Redis, AWS

Intracom Telecom (http://www.intracom-telecom.com)

Senior R&D Engineer (Jan 2016 - Jul 2017)

R&D Engineer (Jan 2010 - Dec 2015)

As an R&D engineer in Intracom Telecom I worked in numerous internal, EU- and national-funded collaborative R&D projects spanning across multiple research areas such as network management, energy, big data analytics and distributed systems. My main responsibilities included project management, team leading, architecture design, software development, mechanisms’ research and development, system integration, testing, product demonstration, documentation and release management.

Technology stack: Java, C++, Python, AngularJS, REST, SOAP, JBoss AS, Tomcat, Karaf, EJB, JPA, JMS, JSF, MySQL, PostgreSQL, Netty NIO, Boost Asio, Maven, Ant