Data Engineering
Scalable ETL/ELT pipelines, data architecture, distributed processing and reliable data workflows.
Hello, I'm
Vipin Singh Negi
Negi
Big Data Engineer • Data Engineering • Researcher • Educator
I design scalable data platforms, real-time processing pipelines and modern lakehouse architectures using Spark, Kafka, Hadoop and cloud technologies. My professional journey spans 14+ years , including 7+ years in Data Engineering , with teaching experience since September 2022.
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Turning data into knowledge and knowledge into impact.
Vipin Negi
14+
Years of Overall
Professional Experience
Professional Experience
7+
Years in
Data Engineering
Data Engineering
3+
Years of Teaching
Since Sep 2022
Since Sep 2022
20+
Projects &
Data Solutions
Data Solutions
Researcher
Data Systems, Analytics
& Lakehouse Performance
& Lakehouse Performance
About Me
Building Solutions. Sharing Knowledge.
Creating Impact.
My background combines technology, infrastructure, networking and software systems with a long-term specialization in Data Engineering. I work across scalable pipelines, distributed data platforms, real-time processing, cloud environments and technical education.
- 14+ years of professional technology experience
- 7+ years focused on Data Engineering
- Teaching & mentoring since September 2022
- Researcher in data systems and analytics
What I Do
Big Data & Cloud
Spark, Hadoop, Kafka, lakehouse technologies, AWS, EMR, S3 and high-volume data systems.
Networking & Servers
Networking, routing and switching, TCP/IP, Linux, server environments and infrastructure fundamentals.
Teaching & Research
Practical technical education, mentoring and applied research in modern data systems.
Technical Expertise
Technology Stack & Professional Capabilities
Big Data & Processing
Apache Spark
Hadoop
Hive
HBase
MapReduce
Streaming & Pipelines
Apache Kafka
Spark Structured Streaming
ETL / ELT
Airflow
Lakehouse & Storage
Delta Lake
Apache Iceberg
Apache Hudi
HDFS
S3
Programming & Data
Python
SQL
Scala
MySQL
Data Science
Cloud & Infrastructure
AWS
Amazon EMR
Cloud Infrastructure
Linux
Servers
Networking
Networking
Routing & Switching
TCP/IP
Network Security
Server Administration
Experience
14+ Years of Professional Experience
Data Engineering & Big Data
Professional focus on Data Engineering, distributed processing, real-time systems, cloud data platforms, data pipelines and large-scale workloads.
Teaching, Training & Mentoring
Teaching Big Data, Data Engineering, Spark, Hadoop, programming, analytics and practical data systems concepts.
Technology, Networking & Infrastructure
Professional foundation across technology, networking, routing and switching, server environments and software/IT systems.
Featured Projects
Discuss a Project →Real-Time Data Processing Pipeline
Kafka and Spark Structured Streaming pipeline for scalable ingestion and real-time processing.
Data Lakehouse Benchmark
Performance comparison of Delta Lake, Apache Iceberg and Apache Hudi across S3 and HDFS.
Automated ETL Orchestration
Automated workflows for scheduling, monitoring and repeatable data pipeline execution.
Large-Scale Data Processing
Distributed processing workflows for high-volume datasets with performance and reliability considerations.
Research
Real-Time Data Systems & Lakehouse Performance
Research focuses on the real-time performance comparison of modern data lakehouse technologies using Kafka and Spark Structured Streaming, with emphasis on storage systems, query performance and scalable data processing.
Research Topic
Real-Time Performance Comparison of Delta Lake, Apache Iceberg, and Apache Hudi Using Kafka and Spark Structured Streaming
Research Focus
Data Lakehouse · Streaming · Distributed Systems · Performance Benchmarking
Technology Stack
Kafka · Spark · Delta Lake · Iceberg · Hudi · S3 · HDFS
Research Methodology
Experimental benchmarking, controlled workloads, cluster comparisons, query performance analysis and storage-layer evaluation.
Research Goal
Understand performance characteristics and practical trade-offs of modern data storage and processing architectures.
Teaching & Mentoring
Making Complex Data Concepts Practical.
Teaching experience since September 2022, combining theory with hands-on examples, architecture thinking and real-world data engineering problems.
Big Data
Hadoop · MapReduce · Hive · HBase
Apache Spark
RDD · Spark SQL · Streaming · MLlib
Data Engineering
ETL · Pipelines · Distributed Processing
Infrastructure
Networking · Routing · Switching · Servers
Education
Academic Background
A multidisciplinary academic profile combining data science, information technology, business and doctoral research.
IIC
PURSUING · PHD
Doctor of Philosophy (PhD)
IIC University of Technology (IICUT)
Doctoral research · field to be specified
LJMU
MASTER'S DEGREE
Master of Science (Data Science)
Liverpool John Moores University
Data Science, analytics and applied research
AU
MASTER'S DEGREE
MBA in Information Technology
Amity University
Business, management and information technology
IIIT-B
EXECUTIVE PROGRAM
Executive PG Diploma in Data Science
IIIT Bangalore
Professional program in Data Science and analytics
Certifications
Professional Certifications
CISCO
NETWORKING
Cisco Certified – CCNA
Routing, Switching & Networking
MS
MICROSOFT
Microsoft Certified – MCTS
Microsoft Certified Technology Specialist
IIIT-B
DATA SCIENCE
IIIT Bangalore - Executive PG Diploma in Data Science
Data Engineering & ML
AI
AI & CLOUD
AI CERTs - AI Data Engineering & AI Cloud
AI Certification
ORACLE
DATABASE
Oracle Certified
Oracle technologies & systems
IBM
BIG DATA
IBM Certified – Big Data Technologies
Big Data technologies
NIIT
SOFTWARE
NIIT Certified – Software Engineering
Software engineering
Frequently Asked Questions
About Vipin Singh Negi
Who is Vipin Singh Negi?
Vipin Singh Negi is a Big Data Engineer, Educator and Researcher with 14+ years of professional experience, including 7+ years in Data Engineering and teaching experience since September 2022.
What are Vipin Singh Negi's technical areas?
Big Data Engineering, Apache Spark, Hadoop, Kafka, data lakehouse technologies, real-time processing, AWS, networking, routing and switching, Linux and server infrastructure.
What is Vipin Singh Negi researching?
His research focuses on the real-time performance comparison of Delta Lake, Apache Iceberg and Apache Hudi using Kafka and Spark Structured Streaming.
ENGINEERING PUBLICATIONS
Latest Technical Guides
Deep-dives on distributed streaming, Spark performance and Lakehouse architecture.
Lakehouse · 15 min
Apache Iceberg vs. Delta Lake vs. Apache Hudi
2026 benchmark covering metadata, writes, compaction and query latency.
Read guide →
Streaming · 13 min
Kafka KRaft & Spark Structured Streaming
Production migration, resilience and exactly-once streaming patterns.
Read guide →
Spark · 14 min
Production Apache Spark 3.x Tuning
Eliminating shuffles and skew with AQE, joins and executor tuning.
Read guide →
Stream Processing · 12 min
Apache Flink vs. Spark Structured Streaming
Latency, state, checkpointing and real-time pipeline architecture.
Read guide →
Contact
Let's connect.
For data engineering, research, teaching, mentoring or professional collaboration.