Technical Lead
Current- Led and managed a team of data engineers with T-shaping in the field of MLOps, system analysis anddevelopment, providing technical guidance and mentoring- Implemented Data-pipelines to obtain structured and informative data using PySpark/Python/SQL- Developed and implemented ELT/ETL-pipelines for seamless integration of new data sources, leveragingorchestration tools Airflow, dbt, and SAS DIS- Developed solutions in the software modules format for calculating model’s features (development of feature storesfor Data Scientists)- Developed and created architecture of many data marts and sources into DWH and Platform DataLake for reportsand analytics- Implemented mechanisms of deploying models in containers as services into Kubernetes cluster, also implementedmonitoring of models using Prometheus and Grafana in the cluster- Configured CI/CD for ML-pipelines with batch and near real time models in production- Deployed many models into production systems and also prepared infrastructure for models deployment inKubernetes and cloud-native computing- Designed the MLOps platform with data pipelines and model deployment using AWS tools- Worked on extracting, processing, querying, joining, optimizing large datasets with Big Data environment• Held regular meetings to exchange knowledge with the community, team and trained interns in the field of DE,DWH and the infrastructure of the Bank
