Tallinn Metropolitan Area
Data Analyst at Bolt with 5+ years of experience turning complex financial data into actionable insights that drive business impact. I specialize in analyzing transaction and payment flows to optimize performance and support strategic decision-making. Currently focused on building scalable data models and automating reporting pipelines using Databricks, dbt, Presto SQL, Airflow, Python, and Looker. My work bridges the gap between raw financial data and clear business insights—whether it’s improving payment efficiency, monitoring revenue streams, or enhancing financial reporting. I’m passionate about solving data challenges, streamlining analytics workflows, and continuously learning new tools to stay ahead in the data space. Always open to connecting with others in analytics, fintech, and data engineering.
Bolt is Europe's biggest mobility super-app offering Ride-hailing, Meal Delivery, Grocery Delivery, turn-key Car Rentals, Scooters & E-Bikes with operations in 55+ countries. At Bolt, I build the data infrastructure that keeps financial reporting clean, fast, and trustworthy. Beyond pipelines and dbt models, I design and deploy agentic AI workflows that automate complex, repetitive finance processes end-to-end and reducing manual reporting work by up to 60% and freeing the team to focus on decisions, not data entry. Tools I work with: Databricks, dbt, Airflow, AWS S3, Presto, Spark SQL, Looker, Python , and AI models for autonomous workflow automation.
In this intensive program in Berlin, I'm mastering advanced skills in data analysis and machine learning, including data manipulation, visualization, statistical analysis, and model building. The curriculum covers essential tools like SQL for database management, Python for data and ML workflows, and data storytelling techniques to communicate insights effectively. Through hands-on projects and real-world applications, I'm building a strong foundation in analytics and machine learning, empowering me to create data-driven solutions and drive impactful decision-making.
I worked on turning raw payment and transaction data into something actually useful , fraud dashboards, behavioral insights, and analytics-ready datasets built on PostgreSQL and dbt. I built Power BI dashboards tracking fraud KPIs, ran A/B tests to support product decisions, and presented findings directly to senior stakeholders in a clear, visual way. Tools I worked with: PostgreSQL, dbt, Power BI, Python, statistical analysis and A/B testing.
At Guardarian, I worked on the finance and compliance side of data — tracking payment KPIs, monitoring transaction flows, and making sure the right reports reached the right people. I built visual dashboards in Looker, ran data transformations in BigQuery and Snowflake, and delivered regular compliance reports to the AML team and MLRO to support fraud prevention efforts. Tools I worked with: BigQuery, Snowflake, Looker, Python ,SQL , Automation tools .
- Monitor robot movements and ensure the deliveries are smoothly done. - Designed data solutions to support performance optimization and cross-departmental reporting. - Dealing with the customers, partners, teams on ground, internal teams on daily basis. - Remotely operate/guide the robot in a safe and sensible manner in certain traffic situations. - Communicate with the robot and handler on the ground in real-time