Aditya Narayan Daw
@adityanarayandaw
Data engineer focused on big data pipelines, Spark, and scalable data ingestion solutions.
What I'm looking for
I am a data enthusiast and experienced big data developer specializing in building fault-tolerant, high-performance data ingestion and processing pipelines using Spark, Hadoop, and related technologies. At a large consulting firm, I designed and implemented solutions that improved ingestion efficiency, reduced downstream processing time, and migrated legacy workflows to modern Spark‑based applications.
I take ownership as a sole developer for business teams—collaborating with stakeholders, delivering POCs, and building reusable tools like a Spark SharePoint connector and dynamic flattening logic for semi-structured data. I focus on practical engineering that delivers measurable performance gains and enables analytics-ready data.
Experience
Work history, roles, and key accomplishments
Developed fault-tolerant ingestion frameworks and micro-batch streaming pipelines that improved data ingestion efficiency by 30% and reduced downstream processing time by 70%; migrated a banking client from Pig to Spark reducing processing time by 20%.
Education
Degrees, certifications, and relevant coursework
University Institute of Technology
Bachelor of Engineering, Instrumentation Engineering
2017 - 2021
Grade: 8.48 CGPA
Completed Instrumentation Engineering with a cumulative GPA of 8.48, focusing on instrumentation and data-related projects.
Howrah Zilla School
Higher Secondary Certificate, Higher Secondary Education
2015 - 2017
Grade: 80%
Completed Higher Secondary Education and achieved 80 percent marks in the final examination.
Availability
Location
Authorized to work in
Job categories
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