Shubh Singh
@shubhsingh
Data Engineer specializing in scalable cloud-native big data pipelines and reliability.
What I'm looking for
I am a Data Engineer focused on building and optimizing scalable big data pipelines across Azure, AWS, and GCP to support analytics and machine learning.
I have hands-on experience with distributed computing using Apache Spark, Databricks, Hadoop ecosystem tools, and modern ELT frameworks such as dbt and Delta Live Tables.
My projects include end-to-end implementations that achieved 99.99% data quality and 100% idempotency, reusable star-schema builders, and dynamic, parameterized ingestion pipelines for real-world datasets.
I prioritize data quality, reliability, and performance optimization, and I deliver cloud-native solutions with strong orchestration, error handling, and validation practices to make data production-ready for analytics and ML.
Experience
Work history, roles, and key accomplishments
Data Engineer
Self-Directed Projects
Jul 2024 - May 2025 (10 months)
Built end-to-end cloud-native big data pipelines using Databricks, Delta Live Tables, and cloud orchestration to deliver high-quality analytical datasets with 99.99% data quality and 100% idempotency for ingestion workflows.
Education
Degrees, certifications, and relevant coursework
DIT University
Bachelor of Technology, Data Science & Analytics
2021 -
Pursuing a Bachelor of Technology in Data Science & Analytics at DIT University, covering data engineering, machine learning, and big data technologies with expected completion in May 2025.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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