• Designed and led implementation of Kohls Data Platform, the Google Cloud based platform for big data applications

• Implemented data management apps in Python, Scala, Spark

• Implemented dashboards to monitor usage of BigQuery, Dataproc, Cloud Storage, Airflow, Kafka resources and detect performance bottlenecks

• Performed architectural review of new big data applications

• Assisted application, infrastructure and data science teams with solving challenging technical problems when implementing big data processing applications

• Defined development process practices, architectural requirements, Definition of Done for big data processing apps

• Implemented and documented blueprints for typical data processing scenarios

• Made open source contributions to Apache Airflow and Google big data connectors

Primary technologies:

• Google BigQuery, Dataproc, Cloud Storage

• Python, Scala

• Apache Airflow, Spark, Kafka

• Worked as a client facing solution architect, focused on big data, distributed data intensive backend applications

• Created and presented technical proposals to potential and current customers

• Led offshore teams, providing technical requirements, helping with implementing most complex part of the applications, overseeing technical quality of the delivery

• Designed and implemented large scale distributed applications and big data processing systems per customer requirements

• Technical area of expertise included most major RDBMS, Hadoop stack, Google Cloud Big Data stack, In Memory Data Grids, NoSQL databases

Led Moscow office of Grid Dynamics

Responsibilities:

Overseeing of 10+ development projects with 50+ engineers, hiring, engineers career development and mentorship, performance reviews

Executed number of projects in the role of lead engineer

Projects:

• Search engine for a large retail company

• Replatforming of a legacy webstore to a modularized service based system, large retail company

• Started Big Data practice within the company

• Cloud based "platform as a service" for a large eCommerce company

Primary technologies:

Java, Python, Lucene/Solr, Hadoop Map/Reduce, Pig, Hive, AWS, Oracle Coherence, MySQL, DB2