I am a multi-cloud architect specializing in AWS, GCP, and Azure with a focus on designing end-to-end data platforms and GenAI workflows. My expertise lies in building production-ready retrieval-augmented generation (RAG) applications and agentic workflows that drive innovation in AI. I have extensive experience executing complex enterprise cloud migrations, including transitioning from Teradata to BigQuery and Oracle to Snowflake, as well as modernizing legacy HDFS/Hive logic to serverless dataflow solutions.
My skills encompass the modern data stack, with deep knowledge of Databricks Lakehouse, Delta Live Tables (DLT), Spark, and change data capture (CDC) pipelines. I am proficient in using dbt for data transformations and Airflow for orchestration within data lake and S3 environments. I also leverage programming languages such as Java (Spring Boot), Golang, Rust, Scala, Python, and SQL to build scalable, high-throughput data processors and custom connectors, particularly for trading and Web3 domains.
I am a strong advocate for infrastructure as code (IaC) using Terraform and have built robust CI/CD pipelines to support continuous integration and deployment. My domain experience spans FinTech, retail, game publishing, trading, and Web3, where I have led initiatives to optimize data delivery latency, reduce total cost of ownership, and improve operational efficiency.
In my current role at Grid Dynamics, I lead AI and GenAI innovations, including developing high-performance text-to-speech engines and AI-assisted development tools that accelerate software development lifecycles. I have designed and implemented scalable data warehouses and ETL pipelines to process telemetry data from millions of mobile players, and I have driven cloud migration projects that unify batch and streaming workloads across multiple cloud providers.
Throughout my career, I have demonstrated leadership in architecting mission-critical payment processing systems, designing fault-tolerant integration layers, and developing event-driven architectures that enhance system scalability and performance. I am passionate about leveraging cutting-edge AI-native frameworks and cloud technologies to solve complex business problems and deliver measurable results.
Software Viterbi Decoding in Satellite Communication. Excellent.
Led AI and GenAI innovations including building high-performance TTS engines and AI-assisted development tools. Executed cloud migrations from Snowflake to Databricks and cross-cloud data fabric integrations. Designed data warehouse schemas and ETL pipelines for mobile gaming analytics. Modernized legacy HDFS/Hive ETL logic to serverless GCP Dataflow. Engineered scalable metric collection gateways and optimized Airflow orchestration.
Developed high-performance distributed systems for trading desks. Designed AWS Lambda functions for low-latency trade processing. Architected scalable ingestion pipelines into BigQuery. Developed hybrid batch/streaming components using Spring Boot and Apache Storm.
Led development of mission-critical payment processing systems handling 12% of national payment traffic. Designed HA and disaster recovery solutions. Architected in-memory processing engines using GridGain and Akka Cluster. Built fault-tolerant integration layers connecting Scala/Golang microservices with IBM Mainframes.
Led R&D for SmartVista card processing product. Designed scalable event-driven card processing engine with Kafka. Delivered custom payment gateway for Spanish bank. Developed Golang components for payment terminal interaction.
Led transition from monolithic to event-driven architecture. Designed reactive architecture using IBM MQ and Oracle Streams. Implemented distributed caching with Riak. Upgraded core technology stack to improve throughput and agility.
Developed cloud data platform for massive DMP datasets using Spark and Impala on AWS and GCP. Built low-latency RTB components using Erlang and Golang.
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