Best Deal

Short Mentorship Program

Interview prep & tips
Video Meeting
x2
Resume Review
Video Meeting
x1
Resume Building and Review
Video Meeting
x1
Data Engineering Career guidance
Video Meeting
x4
Package
Package
8 products
$ 199$99+
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5

Complete Interview Preparation kit - Data Engineer

Digital product
Digital Product
$ 24$4+

Resume Building and Review

Video Meeting
45 mins
Video Meeting
$ 53$36+

Data Engineering Career guidance

Video Meeting
30 mins
Video Meeting
$ 106$29+
Popular

ONLY for NON TECH People - CONNECT 1:1

Land Your Dream IT Job – No Tech Background? No Problem!
Video Meeting
30 mins
Video Meeting
$ 25$3+
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One on One Mentorship by Himanshu jain

Long Term Mentorship || Untill you get your job
Digital product
Digital Product
$ 1,231$282+
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Best Seller

Practice SQL Challenges || Real Case Studies

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Digital Product
$ 11$3+
5

Resume Review

Video Meeting
30 mins
Video Meeting
$ 36$17+

Connect 1:1 || Begin Your Data Path in India !

Only for 0 Years Experience
Video Meeting
30 mins
Video Meeting
$ 22$7+

Ratings and feedback

4.4/5
14 ratings
146
Testimonials
5/5
Himanshu helped me to understand the topics and skillset required to transition to data engineering,he was pinpoint on the topics and cleared all my questions.Thanks a lot!
Rajarshi Brahma
10th Mar, 2025
5/5
Got helpful resume tips
Mugdha Karodkar
3rd Jan, 2025
5/5
I loved connecting with Himanshu. He cleared all my doubts and gave me a good plan to continue my data journey.
Anonymous
5th Jan, 2025
5/5
Very Helpful
karan garg
2nd Dec, 2024

About me

I am a Senior Data Engineer with extensive 5+ Years of Experience in building Big Data systems to provide a Unified Analytics Platform (Batch & Streaming platforms). With expertise in conceptualising and implementing data pipelines, I am responsible for converting data into informational insights thus helping the organisation to make data-driven decisions. My experience in various industries includes Retail, Networking, Manufacturing Logistics Energy & Utilisation domains. Key Competencies: 1️⃣. Designing Big Data ETL Pipelines 2️⃣. Refine data lake for Business Reporting Building a Unified Analytics Platform 3️⃣. Design Thinking 4️⃣. Optimize the Job Execution Time 5️⃣. Strategy Planning and Implementation Communication 6️⃣. SQL, Python, Azure Data Services, and ETL processes Technologies: 📍 Microsoft Azure, AWS, GCP 📍Spark, SQL, Python, Kafka, Spark Streaming 📍Azure Data Lake Gen2, Azure / AWS Databricks, 📍Azure Data Factory, Kubernetes, Event Hubs, 📍Apache Druid, REST APIS - HDFS, SQOOP, Hive, GitLab, 📍Azure Datawarehouse, Scala, Bitbucket, Jenkins, Agile