Kishan kumar

I am a highly skilled and motivated data engineer with a passion for leveraging technology to solve complex problems and drive business success. With two years of experience in Ericsson Global Service, I have honed my expertise in a wide range of technologies and tools essential for data engineering and software development.

Key Skills:

• Proficient in Data Structures and Algorithms, C, C++, and database management systems (DBMS), ensuring efficient and optimized data processing.
• Strong command of Linux operating system and experience with Apache Nifi for data ingestion and processing.
• Extensive knowledge of PySpark and Pandas for data manipulation and analysis, as well as Flask for building RESTful APIs.
• Skilled in software design principles, including the development of stored procedures and user-defined functions (UDFs) for enhanced data processing.
• Experience with object-oriented programming (OOP), Kubernetes, Docker, and CI/CD pipelines for deploying and managing scalable data applications.
• Familiarity with Feast for feature management, Postman for API testing, and Ansible for automation tasks.
• Proficient in Python scripting, Azure DevOps for project management, and OS fundamentals for system optimization.
• Working knowledge of React for building user interfaces, SQL for data querying, and Dremio for data virtualization.

Professional Experience:

• As a data engineer at Ericsson Global Service, I contributed to various projects involving data integration, transformation, and analysis.
• Designed and implemented robust data pipelines using Apache Nifi, PySpark, and Flask, ensuring seamless data flow and processing.
• Developed and optimized stored procedures and UDFs in databases for efficient data retrieval and manipulation.
• Deployed and managed containerized applications using Kubernetes and Docker, streamlining deployment processes and enhancing scalability.
• Implemented CI/CD pipelines to automate the build, test, and deployment phases of software development lifecycle.
• Collaborated with cross-functional teams to design and implement data solutions aligned with business objectives.

Career Goals:

• I am passionate about advancing my career in data engineering and expanding my expertise in emerging technologies such as cloud computing and machine learning.
• I aim to leverage my skills and experience to drive innovation, optimize data workflows, and deliver valuable insights to organizations.

• As a data engineer at Ericsson Global Service, I contributed to various projects involving data integration, transformation, and analysis.
• Designed and implemented robust data pipelines using Apache Nifi, PySpark, and Flask, ensuring seamless data flow and processing.
• Developed and optimized stored procedures and UDFs in databases for efficient data retrieval and manipulation.
• Deployed and managed containerized applications using Kubernetes and Docker, streamlining deployment processes and enhancing scalability.
• Implemented CI/CD pipelines to automate the build, test, and deployment phases of software development lifecycle.
• Collaborated with cross-functional teams to design and implement data solutions aligned with business objectives.

Bachelor's Of Technology
Computer Science