Ivan Maneski
Los Angeles,CA
Summary
Curious, thoughtful, and impact-driven Data Engineer with a deep interest in how data can solve real-world problems and drive better decisions. I enjoy working across teams to simplify complex challenges, build reliable solutions, and help others make sense of data. Known for being collaborative, adaptable, and always looking for ways to improve both systems and the way people use them. I bring a strong sense of ownership to my work and take pride in making a meaningful difference through data.
Overview
8
8
years of professional experience
Work History
Data Engineer II
GumGum Inc
01.2024 - Current
- RTB Downsampling: Engineered a scalable RTB data downsampling and extrapolation solution, enabling the company to process only 20% of its real-time bidding data while maintaining discrepancies under 1%. This approach significantly reduced computational overhead, with a forecasted annual savings of $750,000—potentially higher when factoring in seasonal data volumes—while preserving data fidelity and analytical precision.
- Delta Lake Enablement with Iceberg on S3: Architected a Delta Lake environment using Apache Iceberg over S3, enabling Kafka to stream data directly into analytical fact tables. This innovation removed multiple intermediate layers in Snowflake, including Snowpipe ingestion and table duplication, streamlining the ETL pipeline. While full implementation is ongoing across several major fact tables, early results indicate substantial efficiency gains and promising cost-saving potential.
- Experiment Manager Application: Built and iterated on a robust Experiment Manager tool that empowers
teams to run controlled experiments, validate key hypotheses, and extract actionable insights. This initiative has
directly influenced decision-making and driven revenue growth by identifying high-impact opportunities. - DSP Discrepancy Reporting: Developed Looker Explores and Dashboards utilizing debug pixel data to pinpoint
discrepancies between our Ad Exchange and DSP partners. This solution has improved transparency, reduced
revenue leakage, and generated significant cost savings by enabling targeted, data-driven corrective actions. - SLA Monitoring & Alerting: Designed and implemented a comprehensive SLA monitoring and alerting system
that tracks performance in real-time. The system's automated alerts facilitate proactive issue resolution, boost SLA compliance, and reduce failure rates, thereby enhancing overall platform reliability and cost efficiency. - Data Mesh Enablement: Championed a Data Mesh initiative by mentoring cross-functional teams on leveraging the company’s data tools, empowering them to own and manage their own data domains. This collaborative approach not only accelerated data democratization and self-sufficiency across the organization but also enhanced decision-making speed and business agility, driving significant operational improvements.
Data Engineer I
GumGum Inc
01.2022 - 01.2024
- Finance Enablement: Streamlined financial reporting by integrating Salesforce data with other key datasets,
creating unified reporting outputs that significantly reduced manual processes and improved operational
efficiency for the Finance team. - Real-Time Bidding & Ad Events Reporting: Pioneered the integration of ad events data with RTB bid request
information to support the cookieless UID initiative. This project delivered enhanced reporting capabilities,
enabling precise analysis of the revenue impact from specific bid strategies and DSP partnerships. The initiative significantly contributed to understanding the cost vs revenue landscape by driving data-informed
optimizations in our real-time bidding pipeline. - Traffic-Shaping & Yield Optimization: Delivered analytics and insights that guided revenue optimization,
including a dashboard for adjusting threshold parameters to maximize yield. Enabled cross-functional teams to make data-driven decisions, ultimately boosting revenue performance by eliminating costs for unnecessary traffic.
System Engineer
GumGum Inc
01.2021 - 01.2022
IT Support Engineer
GumGum Inc
01.2019 - 01.2022
IT Support Engineer
Simplicit Technologies
01.2017 - 01.2019
IT Support Engineer
The Tech Info Group
01.2017 - 01.2019
Education
Data Engineering Career Track -
SPRINGBOARD
01.2021
Python Programming course - undefined
GENERAL ASSEMBLY
01.2020
Bachelor of Communication Science and Technologies - undefined
SOUTHEASTERN EUROPEAN UNIVERSITY
01.2010
Skills
- Kafka
- AWS
- GCP
- Databricks
- Airflow
- Snowflake
- Looker
- MySQL
- Postgres
- Stitch
- Python
- Scala
- SQL
- LookML
- Bash
- Iceberg
Timeline
Data Engineer II
GumGum Inc
01.2024 - Current
Data Engineer I
GumGum Inc
01.2022 - 01.2024
System Engineer
GumGum Inc
01.2021 - 01.2022
IT Support Engineer
GumGum Inc
01.2019 - 01.2022
IT Support Engineer
Simplicit Technologies
01.2017 - 01.2019
IT Support Engineer
The Tech Info Group
01.2017 - 01.2019
Python Programming course - undefined
GENERAL ASSEMBLY
Bachelor of Communication Science and Technologies - undefined
SOUTHEASTERN EUROPEAN UNIVERSITY
Data Engineering Career Track -
SPRINGBOARD
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