Who is Prathamesh Kulkarni? Overview
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Prathamesh Kulkarni is listed as Lead Engineer at HCLTech, based in Pune, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Prathamesh Kulkarni.
Prathamesh Kulkarni previously worked as Bigdata Engineer at Tata Consultancy Services. Prathamesh Kulkarni holds Master Of Computer Applications - Mca, Computer And Information Sciences And Support Services from Shanmugha Arts, Science, Technology And Research Academy.
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HCLTech
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About Prathamesh Kulkarni
Data Engineer with over 4+ years of hands-on experience in designing, implementing, and optimizing data pipelines. Proficient in Hadoop, Hive, PySpark, SQL, and Python, adeptly utilizing these tools to develop robust, scalable, and efficient data processing solutions. Expertise includes streamlining data workflows, optimizing ETL processes, and implementing data governance strategies to ensure data integrity and security.Demonstrated proficiency in managing and analyzing large-scale datasets, employing advanced data manipulation techniques to extract actionable insights and support strategic business decisions. Proven track record in developing data-driven solutions that drive operational efficiency, improve performance metrics, and enhance overall business outcomes.Extensive experience in architecting and deploying cloud-based applications, leveraging cloud services such as AWS, Azure, or Google Cloud Platform to build scalable and resilient data infrastructure. Skilled in optimizing cloud resources and implementing best practices for cost-effective and high-performance solutions.A collaborative team player with strong problem-solving skills, capable of collaborating cross-functionally to understand business needs and translate them into effective technical solutions. Committed to staying updated with emerging technologies and industry trends to drive continuous improvement in data engineering practices and deliver cutting-edge solutions
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3 roles
Prathamesh Kulkarni work experience
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Lead Engineer
CurrentBig Data & Cloud Solutions | GCP ExpertiseDesign and Develop Data Infrastructure: Lead the design, development, and maintenance of scalable data solutions utilizing Big Data tools like Hadoop, Spark, Kafka, and Google Cloud Platform (GCP) services. Ensure high-performance data pipelines, storage, and processing systems.ETL Optimization: Oversee and optimize Extract, Transform, Load (ETL) processes to improve efficiency, reduce latency, and ensure high data quality. Implement data governance and compliance best practices.Collaboration and Leadership: Collaborate with cross-functional teams to understand complex business requirements and translate them into scalable technical solutions. Lead technical teams, mentor engineers, and ensure delivery of high-quality data products.Continuous Innovation: Stay updated on emerging trends and technologies in data engineering and cloud computing. Lead efforts to adopt best practices, introduce automation, and drive innovative solutions that align with business goals.Tool Proficiency and Workflow: Proficient in tools like GCP BigQuery, Dataflow, Apache Airflow, Terraform, and other workflow management tools. Leverage CI/CD pipelines to optimize development efficiency and ensure seamless collaboration.
Sep 2024 - Present
Bigdata Engineer
Develop and Maintain Data Infrastructure: Design, build, and maintain scalable data pipelines and infrastructure utilizing Hadoop, Hive, PySpark, SQL, and Python. Ensure the reliability, efficiency, and security of data systems.Optimize ETL Processes: Streamline Extract, Transform, Load (ETL) processes to enhance data quality, improve efficiency, and minimize processing time. Implement best practices for data governance and quality assurance.Collaboration and Problem-solving: Collaborate cross-functionally with stakeholders to understand business requirements and translate them into technical solutions. Address complex data-related problems and provide innovative solutions.Continuous Improvement and Innovation: Stay abreast of emerging technologies and industry trends in data engineering. Implement new methodologies, tools, and best practices to enhance data engineering capabilities and drive innovation.Tool Proficiency and Workflow Enhancement: Proficient in Putty, Teamcity, Zeppelin, XL Release, Intellij, Git, Abinitio, Jira, and Confluence to optimize workflow efficiency and collaboration in development environments.
Sep 2020 - Sep 2024
2 education records
Prathamesh Kulkarni education
Master Of Computer Applications - Mca, Computer And Information Sciences And Support Services
Bachelor'S Of Computer Science, Computer Science
FAQ
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What company does Prathamesh Kulkarni work for?
Prathamesh Kulkarni works for HCLTech.
What is Prathamesh Kulkarni's role at HCLTech?
Prathamesh Kulkarni is listed as Lead Engineer at HCLTech.
Where is Prathamesh Kulkarni based?
Prathamesh Kulkarni is based in Pune, Maharashtra, India while working with HCLTech.
What companies has Prathamesh Kulkarni worked for?
Prathamesh Kulkarni has worked for Hcltech and Tata Consultancy Services.
How can I contact Prathamesh Kulkarni?
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What schools did Prathamesh Kulkarni attend?
Prathamesh Kulkarni holds Master Of Computer Applications - Mca, Computer And Information Sciences And Support Services from Shanmugha Arts, Science, Technology And Research Academy.
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