Sergei Sokolianski Email & Phone Number

Atlanta, Ga, Us

Denver, Co, Us

Responsible for Global Data Foundation Platform and organizational structure for data engineering, AI/machine learning, and DevOps/MLOps for a large retail organization that manages a portfolio of premium outdoor and active wear brands. Directed multiple international teams in constructing data products tailored to both individual brands and central business Analytics teams.

Atlanta, Georgia, Us

Led multidisciplinary engineering teams in the strategic overhaul of data and machine learning pipelines, enhancing data warehousing and DevOps practices to meet the advanced analytics needs of a large-scale retail organization. Under my strategic guidance, we developed a robust set of Data Ops methodologies, improving our approach to data storage, integration, and deployment. This pivotal transformation led to a marked enhancement in operational efficiencies and streamlined workflows, catalyzing a culture of cross-functional collaboration and technological agility across the organization.• Orchestrated the deployment of cloud-based solutions using AWS Cloud, driving predictive analytics capabilities that bolstered data-driven decision making, contributing to wider of use of enterprise data and uplift in business intelligence outcomes through process automation.• Managed a comprehensive AWS Cloud Data Lake and Redshift data warehouse, optimizing data storage and retrieval processes to support enterprise-wide analytics initiatives.• Streamlined development lifecycles by 30%, achieving greater operational efficiency and promoting a collaborative culture across technology and business units.• Accelerated predictive analytics capabilities by 20% through strategic collaborations with data scientists and business leaders, directly impacting business strategies and performance.• Strengthened data security through stringent governance and encryption techniques, aligning with regulatory standards and working closely with information security and corporate compliance teams.• Managed a large portfolio of projects, performing ongoing prioritization and resource allocation to ensure that the critical business projects are delivered on time.

Atlanta, Ga, Us

Responsible for Data Quality and Automation for the Enterprise Data Lake serving the needs of data scientists and manufacturing facilities to ensure quality of data from ingestion to making predictions. Manage several teams of data engineers, application developers and data scientists in Atlanta and Bangalore• Implemented a data quality program for Enterprise Data Analytics team including IoT machinery sensor data and manufacturing asset data including AWS pipelines, Redshift data warehouse and SAS models.• Built automation for Python models and data quality jobs utilizing serverless architecture with AWS Lambda, S3, Glue, Redshift and Aurora.• Delivered a SAS project for Gypsum division, preparing and cleansing data, measuring quality of that data and deploying analytical ready datasets for Data Science teams utilizing SAS Viya and Event Streaming Manager.• Developed an application with real time streaming data using Kinesis streams and model predictions to display machine faults and bottlenecks in real time for the plant operations on the floor.• Developed a common DataOps strategy for management of 200+ streaming and batch data pipelines, 500 SAS models in production and data quality monitoring.• Created a central monitoring and alerting solution used to report on job failures, quality metrics and model performance data for proactive monitoring of data issues and model drift using a table-driven data model and communication.• Worked closely with Data Governance team to develop data onboarding, data profiling and data cataloging processes for better data management and data sharing.

Atlanta, Georgia, Us

Manage several teams of data engineers, developers and administrators in the US and Poland supporting data engineering initiatives, database operations and cloud data migrations.- Achieved $3M in cost savings through multiple projects to migrate 400+ database servers across data centers and to the cloud. Reduced labor costs 30% by building and training an offshore team in Poland.- Developed and executed on cloud adoption strategy by evaluating cloud providers, architecting highly available infrastructure and enabling data governance to mitigate compliance risks and cost- Played key role in architecting enterprise data lake by utilizing standard processes and tools for data collection, storage and data visualization - Migrated Oracle data warehouse for the Beverage division to the cloud utilizing AWS serverless architecture including AWS Data Pipeline, Spark EMR, S3, Glue, Athena and Aurora services- Developed an IoT serverless data streaming solution for Connected Machines (Kinesis, Lambda, S3) to enable real-time monitoring and predictive models for Westrock’s Food and Beverage division.- Worked closely with DevOps team to implement CI/CD pipelines across multiple data engineering projects - Implemented data compliance security controls according to GDPR regulation by using encryption, data obfuscation and data governance processes- Delivered over $300K in cost savings by reducing commercial database footprint by migrating to open source database platforms PostgreSQL and MySQL

Houston, Texas, Us

Round Rock, Texas, Us

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