lalit Patel
@lalitpatel1
Data Engineer with expertise in Big Data and cloud computing.
What I'm looking for
I am a dedicated Data Engineer with 1.5 years of experience in software development, specializing in building scalable, high-performance data solutions. My expertise lies in Big Data technologies, cloud computing, and ETL pipelines, where I focus on optimizing workflows and enhancing data-driven decision-making. I am passionate about continuous learning and innovation, which drives my commitment to delivering impactful results.
At NucleusTeq, I have successfully designed and maintained over 10 scalable ETL pipelines using Databricks and Google Cloud Platform, significantly reducing data processing time by 30%. My role involves managing terabytes of data, optimizing SQL queries, and developing automated data validation checks that ensure 99.9% data accuracy. I thrive in collaborative environments, having worked with multiple cross-functional teams to improve data accessibility and enhance business reporting by 25%.
Experience
Work history, roles, and key accomplishments
Data Engineer
NucleusTeq
Jul 2023 - Present (2 years)
As a Data Engineer at NucleusTeq, I designed, developed, and maintained over 10 scalable ETL pipelines using Databricks and GCP, significantly reducing data processing time. I managed terabytes of data, optimized SQL queries, and developed automated data validation checks to ensure data accuracy and integrity.
Education
Degrees, certifications, and relevant coursework
Institute of Engineering and Technology, DAVV
Bachelor of Technology, Computer Science
2019 - 2023
Grade: 7.6 GPA
Completed a Bachelor of Technology in Computer Science with a GPA of 7.6, focusing on software development, data engineering, and cloud computing.
Macro Vision Academy
Higher Secondary, Higher Secondary Education
2018 - 2019
Grade: 88 Percentage
Completed Higher Secondary education (10+2) with a focus on science and mathematics, achieving an 88% score.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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