Offering end-to-end data engineering solutions to help businesses transform raw data into actionable insights.

• Designing and implementing data pipelines for efficient data collection, transformation, and integration from diverse sources.
• Providing custom data engineering services tailored to the unique needs of clients, including real-time streaming and batch processing systems.

Leveraging technologies like Python, Apache Airflow, Kafka, dbt, and PySpark, along with the comprehensive skills acquired through my education and professional experience, to build robust, scalable systems for handling large-scale data.

• Imported, transformed, consolidated and exported data from sources such as VMware vCenter, HPE OneView, SharePoint, and SMB network shares into the i-doit CMDB, which was utilized by high-level executives for auditing and compliance purposes.

Technologies used: Python, Kubernetes, GCP,  ArgoCD, Omnikeeper, I-doit CMDB, Sharepoint, Windows SMB Share, Vmvare Vcenter, HPE OneView, Prometheus, Grafana, Gitlab.

• Worked with Qlik to extract and integrate data from diverse sources such as files and databases, creating visualizations and reports for a large-scale, multi-country billing database containing millions of records.

Technologies used: Qlik, Qlik Sense, Sql Server, OracleDb, SQL.

• Designed, developed, and deployed robust application services for real-time event monitoring, ensuring high availability and performance across critical systems.

Technologies used: Nagios, Thruk, Python, C#, .Net,  Golang, PostgreSQL, TimescaleDB, InfluxDB, OracleDB, Elasticsearch, Telegraf, Grafana, Prometheus, Docker, Linux, GitLab, On-Premise Linux Servers.

• Orchestrated the deployment of applications across various stages by constructing robust pipelines and containerizing the applications.

Technologies used: Docker, GitLab, SSH, Linux Servers, Bash, Argo, StackStorm

• Involved in the development of products such as healthcare systems and web messenger as well in development of WebRTC monitoring and troubleshooting tools.

Technologies used: .Net, Microservices, Node Js, SqlServer, Azure Cloud, Azure devops server (TFS), WebRTC, Angular, React Js.