Vijay Jangir

Data Engineer | Data Analyst | Platform Engineer | DevOps | SRE.

About me

Hello! I am a Data Analytics evangelist and dedicated data engineer with a passion for transforming raw data into valuable insights. With expertise in data modeling, ETL processes, and data visualization, I thrive on streamlining complex workflows and uncovering hidden patterns.

As a constant learner, I stay updated with the latest trends and technologies in the data analytics field. I believe collaboration is key to solving challenges, and I'm excited to connect with like-minded professionals and projects.

Let's harness the power of data together and shape a smarter, data-driven future! If you're seeking a data engineer with a keen eye for detail and a commitment to excellence, I'm here to help you unlock the true potential of your data. Let's make a difference, one dataset at a time!

Top projects

Portfolio website

  • React
  • Next.js
  • MongoDB
  • Tailwind
  • Prisma

Created my website using nextJS. This is a portfolio website having a blog integration with WIX.

Context Aware Rule Engine

  • Flink
  • Kafka
  • Java
  • Elastic Stack
  • Influx
  • Airflow

Developed a context aware platforn, which takes deisions based on user past activity in real time and to trigger business rules.

Telecom - Network Datalake

  • Flink
  • Kafka
  • Java
  • Elastic Stack
  • Influx
  • Airflow
  • NiFi

Designed and implemented a datalake, warehouse for network data comin from mobile towers. Managed data at petabyte scale with >2Trillion events coming every day.

Retail - Cross Shopping Behaviour

  • Spark
  • Python
  • Power-BI
  • Airflow

Developed solution for biggest retailers worldwide to analyse on how customers cross shop b/w departments, categories or products. This was enhanced with multiple customer segmentations

Retail - Association Rule Engine

  • Spark
  • Python
  • Power-BI
  • Airflow
  • Statistics-Apriori

Developed solution for biggest retailers worldwide to analyse on how products are related, and which products, categories, or even departments are shopped together, Used Apriori algorithm at big data scale

Retail - Category Uplift & Cannabalization

  • Spark
  • Python
  • Power-BI
  • Airflow
  • Statistics-Apriori

Developed solution for biggest retailers worldwide to analyse on what is the impact of new product launch, how it isi adding to the sales and how much it cannibalises the other products in the same category.

My skills

My experience

Contact me

Please contact me directly at contact@vijayjangir.com or through this form.