— Designed data pipelines that facilitate data ingestion from APIs or files stored in S3, processed the data using Apache Spark, and subsequently loaded it into data marts— Achieved a 22% enhancement in the execution time of Spark jobs through the implementation of diverse optimization and tuning techniques. These methods encompassed join strategies, partitioning & bucketing, managing processing parallelism, and efficiently allocating resources— Developed over 50 Airflow DAGs with multiple dependencies, conditional logic, dynamic workflows, parallelism, triggers and sensors. Successfully optimized data workflows, resulting in a notable 17% reduction in execution time — Developed a query and ETL jobs telemetry console to monitor Oracle job statistics, providing real-time insights. Enhanced database performance by optimizing SQL and PL/SQL statements within procedures, resulting in a 34% reduction in processing time— Designed and implemented data models using defined principles and business rules, ensuring data accuracy and consistency, resulting in a 93% reduction in data anomalies— Automated data extraction, transformation, and loading (ETL) processes using Python, resulting in a 50% reduction in manual effort

— Improved CSI index by 12% by implementing customer feedback mechanisms throughout all stages of the product lifecycle— Optimized sales department's work to achieve an improvement in lead-to-sale conversion rate, increasing it from 8% to 15%— Built an efficient customer service department without adding more staff, resulting in 13% increase in customer lifetime value (LTV)— Launched an e-learning platform for children aged 3-7, with the first sales generated in just the third week

— Expanded a network of training centers and developed new products based on customer research— Delivered a ROI of over 100% within just three months of product launch— Achieved a 6% increase in sales conversion rate through the implementation of a CRM software and end-to-end analytics system— Deployed an online platform for barbers within a rapid timeframe of just 1.5 months, starting with a minimum viable product (MVP)

— Project management: legal support of projects— Business process automation: implemented an automated control system— Contract management: negotiated 300 agreements per month— Legal case management: the total value of lawsuit settlements over ₽800m— Intellectual property management: trademarks, patents, copyright law