Consultant for Cloud Data Engineering and Software Development
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- gu | en | hi
- 21.08.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
11/2022 – offen
Tätigkeitsbeschreibung
Designed and implemented scalable and cost-effective cloud solutions on Microsoft Azure for a Swiss insurance company.
Leveraged Azure services such as Azure Virtual Machines, Azure Blob Storage, Azure SQL Database, and Azure Functions for various business requirements.
Developing and testing complex data pipelines using Pyspark and Azure Databricks for large-scale data processing and extraction of insights from massive datasets.
Orchestrated complex workflows and scheduled data processing tasks using Apache Airflow for flexible and adaptive workflow management.
Applied machine learning algorithms using Spark and Databricks to derive predictive insights for risk assessment and fraud detection.
Implemented version control strategies using Azure DevOps and established CI/CD pipelines to automate the deployment process.
Integrated Power BI reports with underlying Databricks and Azure data sources for real-time data visualization.
Utilized Jira for project management, creating and managing tasks, user stories, and sprints.
Implement ServiceNow for incident management, tracking and resolving issues related to, data pipelines, Power BI reports, and cloud infrastructure.
Maintained comprehensive project documentation using Confluence, ensuring clear and accessible information for architecture, workflows, concepts, and best practices.
Apache Spark, Databricks, Python, SQL
3/2021 – 10/2022
Tätigkeitsbeschreibung
Development and integration of AI-driven backend solutions into the IndustryView SF Software platform, employing .NET Framework, ML.NET, and .NET Core to deliver robust SaaS solutions tailored for industrial applications.
Designed and developed advanced predictive models for applications in predictive maintenance, time-series forecasting and image processing, utilizing machine learning techniques.
Developed and maintained web applications and RESTful APIs using ASP.NET, ensuring seamless communication with IndustryView SF for enhanced data interoperability.
Led the design and deployment of a client-server web application, enabling effective communication with IndustryView SF via REST APIs, using Postman and Python for API testing and integration.
Orchestrated the deployment and maintenance of web applications within Docker containers, ensuring high availability and scalability.
Created a mobile app for IndustryViewSF with Microsoft PowerApps, facilitating remote access to operational data.
Developed a Windows service in C# for continuous data processing, computing correlations, and updating the database with new insights.
SQL, Pytorch, .Net Framework (Microsoft), C#, Python, Deeplearning4j, Softwareentwicklung (allg.)
10/2019 – 9/2020
Tätigkeitsbeschreibung
Research and development of various deep reinforcement learning and deep learning algorithms for different applications.
Supervised a project with Bültmann GmbH with a team of 5 members for providing data visualization and machine learning solutions for their Prepeeling machine.
Worked with ROS/Gazebo for developing robot models and simulating robot training using Reinforcement Learning.
Data Science, Big Data
Über mich
Currently, I serve as a Consultant for Big Data, Cloud, and AI at saracus consulting GmbH, where I have successfully led projects that include cloud migrations, data pipeline development, and real-time data visualization with Power BI. I have a proven track record of utilizing tools such as Apache Airflow, Azure DevOps, and Python to streamline data workflows and enhance data quality and processing efficiency.
Previously, I worked at ViewSystems GmbH as a Machine Learning Engineer and Software Developer, integrating AI-driven backend solutions into industrial applications using C# and .NET. My work involved developing predictive models, deploying web applications with Docker, and creating mobile solutions with PowerApps.
I hold a Master of Science in Systems Engineering and Engineering Management, with a focus on Machine Learning and Deep Learning, from Fachhochschule Südwestfalen. My academic and professional journey has equipped me with a diverse skill set in programming languages, cloud architecture, and data science methodologies.
Fluent in English and proficient in German (B2), I am passionate about driving innovation through technology and data.
Persönliche Daten
- Gujarati (Muttersprache)
- Englisch (Fließend)
- Hindi (Fließend)
- Deutsch (Gut)
- Tamil (Gut)
- Europäische Union
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