Lalit Patel
@lalitpatel
Results-driven Data Engineer specializing in Big Data and Cloud Computing.
What I'm looking for
I am a results-driven Data Engineer with 1.5 years of experience in Software Development, specializing in Big Data technologies and Cloud Computing. My expertise lies in designing and optimizing scalable data solutions that enhance real-time analytics and business intelligence. I have a proven track record of implementing efficient ETL pipelines using Databricks and Google Cloud Platform, significantly improving data processing times and accuracy.
Throughout my career, I have successfully managed terabytes of data, ensuring efficient ingestion, transformation, and storage. My work has led to a 30% reduction in data processing time and a 40% improvement in SQL query performance. I thrive in collaborative environments, having worked with cross-functional teams to enhance data accessibility and drive data-driven decision-making.
Experience
Work history, roles, and key accomplishments
Data Engineer
NucleusTeq
Jul 2023 - Present (1 year 11 months)
As a Data Engineer at NucleusTeq, I designed and maintained scalable ETL pipelines using Databricks and GCP, optimizing data processing and improving performance. I collaborated with cross-functional teams to enhance data accessibility and developed automated validation checks to ensure data 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 focus on software development and data engineering principles. Achieved a GPA of 7.6, demonstrating strong academic performance in technical subjects.
Macro Vision Academy
Higher Secondary, Higher Secondary Education
2018 - 2019
Grade: 88 Percentage
Completed Higher Secondary education (10+2) with a focus on science subjects, achieving an 88% score, which laid the foundation for further studies in technology and engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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