Exploring Data Realms: Karthik embarks on a journey through data engineering in Azure cloud, inspired over 7 years of career spanning 5 years over the Azure Cloud specializing on Azure Data Platform Development, Deployment and Maintenance
Update: October 2nd, 2024
My CV / Resume: DE Resume
Based: Bengaluru, India
Status: Currently Open for a Data Engineer Job
Contact: India (+91) 889 289 2666
Email: krthiak@gmail.com
Linkedin: Click Here
Hello, my name is Karthik! I am a data engineer proficient in fostering big data integrated data warehouse and data lake solutions on enterprise cloud by integrating multiple data sources to support advanced analytics and machine learning models following agile scrum framework, driving strategic initiatives, nurturing client relationships, building data-intensive applications and spearheading migration to Azure with enhanced scalability shortening query latency for downstream consumers.
In my spare time, I am always excited to investigate modern data engineering and AI tools and approaches, always looking for ways to broaden my knowledge and sharpen my skills. If you're seeking for someone with a unique combination of software development and data engineering skills, I'd love to talk about how I might help your projects and organization. Please contact me and let's begin on a data-driven journey together!
The CV is included within the repository
This is a repository in which I can show off my skills, projects, and progression in Data Engineering / Artifical Intelligence.
At the beginning of my journey into the realm of data, I initially aspired to acquire a career in ETL to architect data driven solutions. However, as my career progressed, I dug deeply into various subjects and consistently be the best at, achieving the highest distinctions across disciplines. While my focus wasn’t solely on excelling in these areas, my commitment to excellence resulted in commendable performance. As I progressed in my career, I realized the potential for synergy between my aptitude in Data Analysis and my proficiency in Software Development. This realization led me to the combination role of the both 2 fields: As a Data Engineer - which was the best decision I have made in my lifetime.
What did I prepared? Everything. But if you are curious, here is the breakdown of all the knowledge I have gathered to be a part of Data Engineering community:
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English Profiency --------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸]
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SQL ------------------------------------------------ [✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸※※]
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Python --------------------------------- [✸✸✸✸✸✸✸✸✸✸※※※※※※※※※※]
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Spark -------------------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸✸※※※※]
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Azure Databricks -------------------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸※※※※※※※]
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Azure Data Factory ---------------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸✸※※※※※※]
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PL SQL ----------------------- [✸✸✸✸✸✸✸※※※※※※※※※※※※※]
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HiveQL ---------------------------------------------- [✸✸✸✸✸✸✸✸※※※※※※※※※※※※]
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Hadoop Ecosystem ------------------------------ [✸✸✸✸✸※※※※※※※※※※※※※※※]
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Azure DevOps ----------------------------- [✸✸✸✸✸※※※※※※※※※※※※※※※]
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Azure Synapse ------------------------------------------------ [✸✸✸✸✸※※※※※※※※※※※※※※※]
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Azure Data Lake Storage --------------------------- [✸✸✸✸✸※※※※※※※※※※※※※※※]
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HDFS ---------------------------------------------- [✸✸✸✸✸※※※※※※※※※※※※※※※]
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Git -------------------------------------------- [✸✸✸✸✸✸✸※※※※※※※※※※※※※]
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Agile Methodology ------------------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸※※※※※※※]
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CI/CD -------------------------------------- [✸✸✸✸✸✸✸✸✸✸✸✸✸※※※※※※※]
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Object-Oriented Programming ---------------------- [✸✸✸✸✸✸✸※※※※※※※※※※※※※]
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Data Structures and Patterns ------------------- [✸✸✸✸✸※※※※※※※※※※※※※※※]
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OpenAI API
Sincerely,
krthiak