1️⃣ One-to-One Call Services

1. Data Engineering Career Guidance (1:1 Mentorship)

Description

Get personalized guidance on building a successful career in Data Engineering.

We’ll discuss skills, roadmap, projects, resume improvements, and strategies to break into or grow in Data Engineering roles.

2. Data Engineer Mock Interview (Azure / AWS / Spark)

Description

Practice real-world Data Engineer interview questions covering SQL, Spark, ETL pipelines, cloud architecture, and scenario-based questions.

Receive detailed feedback and improvement tips.

3. Resume Review for Data Engineering Roles

Description

Get your resume optimized for Data Engineer roles and ATS systems.

I’ll help you highlight your technical strengths, projects, and experience to attract recruiters.

4. Breaking into Data Engineering (Step-by-Step Roadmap)

Description

A structured session covering the exact skills, tools, and projects required to become a Data Engineer, including Azure, AWS, Spark, SQL, and Python.

5. Azure Data Engineering Architecture Guidance

Description

Learn how real-world Azure data pipelines are designed using Azure Data Factory, Data Lake, Databricks, and Synapse.

6. AWS Data Engineering Pipeline Design

Description

Understand how to build scalable data pipelines using S3, Glue, EMR, Lambda, and Redshift.