Data engineering

Sadha Shiva Reddy Chilukoori – Expert in Data Engineering and Analytics

With over 12 years of experience in Data & Analytics Engineering, Data Science, Machine Learning, and Business Intelligence (BI), Sadha Shiva Reddy Chilukoori is a seasoned professional committed to building innovative solutions that drive business success. Currently based in Menlo Park, CA, Sadha’s expertise spans across designing complex data architectures, developing scalable ETL pipelines, and […]

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Giriprasad Manoharan: Expert in Data Engineering, AI, and Cloud-Based Solutions

With over 12 years of experience in data engineering, artificial intelligence (AI), and machine learning (ML), Giriprasad Manoharan stands out as a seasoned expert in the field. His extensive technical expertise spans a range of areas including cloud-based services, ETL tools, database management, and data migration, positioning him as a versatile and valuable asset to

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Dinesh Eswararaj – Senior Data Engineer and Data Architect

Extensive Experience in Data Engineering and Architecture Dinesh Eswararaj is a seasoned Senior Data Engineer and Data Architect with over 15 years of experience in the Information Technology sector. His career is distinguished by a deep specialization in designing data warehouse solution architecture and extensive hands-on experience in developing robust data models for data warehouses

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Sandeep: A Trailblazer in Engineering Leadership and Data Innovation at Meta

Sandeep is a distinguished engineering leader at Meta with over 17 years of experience in data and software engineering. He excels in data engineering, analytics, and data strategy, crucial for data-driven decision-making that empowers organizations to make strategic, informed choices. Certifications and Affiliations Sandeep’s illustrious career is marked by numerous certifications, reflecting his commitment to

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Seasoned IT Professional Hari Gonaygunta, Ph.D. – Specializing in Splunk, Data Science, and Data Engineering

With over 11 years of extensive experience in designing, developing, and maintaining IT applications across diverse domains such as Healthcare, Banking, Finance, Telecommunications, Retail, and Insurance, Hari Gonaygunta (Ph.D.) is a seasoned professional in the field. His expertise spans multiple areas, including Splunk development, data science, and data engineering, making him a versatile asset in

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Sandeep Rangineni: Expert Data Test Engineer at Pluto TV

Sandeep Rangineni is a seasoned Sr. Data Test Engineer at Pluto TV, boasting over 12 years of experience in the IT industry, with a particular focus on the streaming media sector. With an impressive dual Master’s degree in Engineering Management and Information Technology, Sandeep brings a wealth of knowledge and expertise to his role. Professional

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Chitra Sabapathy Ranganathan: Innovator in Business Technology Leadership

Chitra Sabapathy Ranganathan: Pioneer in Business Technology Leadership Chitra Sabapathy Ranganathan is a seasoned business technology leader with over 24 years of extensive experience, renowned for his relentless pursuit of excellence and innovation across various domains. With a diverse skill set spanning cutting-edge technologies such as Business Intelligence, Cloud Computing, Big Data, Artificial Intelligence/Machine Learning

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Anandaganesh Balakrishnan – Principal Software Engineer, Data Engineering

Welcome to the professional journey of Anandaganesh Balakrishnan, a seasoned Principal Software Engineer specializing in Data Engineering. With a wealth of technical skills and a proven track record, Anandaganesh is a driving force in shaping data strategies and frameworks for organizations. Technical Proficiency: Anandaganesh brings proficiency in a range of cutting-edge technologies, including AWS, Sqoop,

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AI Revolution

The Importance of Data in Machine Learning: Fueling the AI Revolution

Importance of Data in Machine Learning In the ever-evolving landscape of artificial intelligence, one undeniable truth stands out: data is the lifeblood of machine learning. Machine learning algorithms, from the simplest linear regression models to the most complex deep neural networks, rely heavily on data to make predictions, recognize patterns, and learn from experience. In

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Seamless Synergy: Exploring the Intersection of Data Engineering and Application Integration

By  SRINIVAS VENKATA Staff Data Engineer, Teradata, USA   Seamless Synergy: Exploring Data Engineering and Application Integration In today’s fast-paced digital landscape, businesses generate and consume vast amounts of data daily. This deluge of information provides valuable insights that can drive innovation, improve customer experiences, and boost competitiveness. However, to harness the true potential of

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