ChartMogul ↗

Engineering Manager - Data & AI team (June 2026 - present)

  • Promoted to lead the new Data & AI team of 4 engineers, owning ChartMogul’s data and AI strategy from idea through to production and adoption.
  • Started and led ChartMogul’s AI initiatives. This includes a publicly launched MCP server that opens up ChartMogul analytics to AI clients, along with other AI features in the product. I took each one from the first idea, to a proof of concept, to something customers use.
  • Set up how the team finds, prototypes and ships AI products, turning experiments into features that customers actually use.

Engineering Manager - Infra team (July 2023 - June 2026)

  • Managed the Infra & Data team, shaping the company’s data strategy and architecture to support business growth.
  • Came up with and led the migration of ChartMogul’s customer-facing analytics from Postgres to ClickHouse. I proposed it, proved it out, and rolled it to production, which gave a 50% improvement in query performance for all customers.
  • Started and led the Destinations data-export product. It gives customers self-service access to their ChartMogul data in their own warehouses, and it has grown into a widely used part of the product.
  • Ran multiple Postgres migrations, upgrades and query optimizations, which removed recurring data-processing incidents.
  • Led a Snowflake cost optimization that cut spend by 70% without losing performance.

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

  • Started ChartMogul’s Data Engineering team.
  • Set up and built the data analytics stack from the ground up, including the Snowflake data warehouse, ETL workflows, CDC, and data transformations using dbt. The business still runs its analytics on it today.
  • Suggested data product ideas to management, got buy-in, and led them to production. This is the way of working I still rely on today.

Technology stack: Python, FastAPI, ClickHouse, Snowflake, dbt, MCP, Bedrock, AgentCore, Strands Agents, Superset, HEX, Segment, Kafka, Kafka Connect, Debezium, AWS, EKS, RDS Postgres, S3, Lambdas, Step Functions, Glue, MSK

Optasia ↗

Data Engineering Manager (Nov 2020 - Aug 2021)

  • Managed the Data Engineering team, and oversaw the execution of 40+ big data projects.
  • Came up with and led the company’s data stack modernization, bringing in new tools and processes to improve scalability and efficiency.
  • Rebuilt the core ETL workflows for a 5x reduction in execution time, which let the business train and deploy ML models twice as fast.
  • Ran 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 ↗

Lead Data Engineer (Mar 2020 - Oct 2020)

  • Led the Data Management team.
  • Led an ETL optimization that achieved a 10x improvement in data freshness.
  • Worked on data openness. I proposed, built and rolled out self-service data platforms and central data cataloging tools to improve discoverability and accessibility.

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

VAIX ↗

Data Architect (Jul 2017 - Mar 2020)

  • Employee #7, started the Data Engineering team and helped scale the company’s services to support multiple major customers.
  • Designed and built the data engineering stack to integrate with various customer data sources.
  • Built systems to batch and stream process terabytes of daily data, running all data and machine learning workflows.
  • Built the API backend for the recommendation system and took it to production for live customer traffic.

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

Intracom Telecom ↗

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 on EU- and national-funded collaborative R&D projects, taking them from research idea to prototype, demonstration and release. They spanned 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, 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