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Video meeting . 45 mins
5
Data Engineering Interview prep & tips
Ace your next Data Engineering interview! 🚀
Priority DM . a day reply
Video meeting . 45 mins
5
1:1 Mentorship on Data Engineering field
Fast track your Data Engineering career with 1:1 guidance
Video meeting . 45 mins
Data Engineer Mock interview
Simulate a real Data Engineering technical interviews
Priority DM . 7 days reply
Priority DM . a day reply
Video meeting . 15 mins
5
Discovery Call
Career guidance and interview tips for Data Engineer
Video meeting . 45 mins
Resume review
Stop getting auto-rejected by ATS and recruiters! 📄✨
Video meeting . 30 mins
Priority DM . 7 days reply
About me
Hey there! 👋 I’m a Cloud & AI Data Engineer currently working at Deloitte USI (Ex-Cognizant) with nearly 5 years of experience designing scalable data architectures for Fortune 500 tech giants, including Google and PayPal.
Having navigated the complex hiring bars of top-tier consulting firms and product companies, I know exactly what it takes to break into the industry, crack tough technical interviews, and build highly scalable, cost-efficient data pipelines.
Whether you are looking to land your dream Data Engineering job, transition to the cloud, or solve complex data architecture problems, I am here to help you fast-track your success.
🤝 How I Can Help You:
🎯 Interview Preparation & Mock Interviews: System Design, SQL, PySpark, Python, and Cloud Data Architecture (GCP, AWS, Azure).
📄 Resume & LinkedIn Reviews: Actionable feedback to get your profile shortlisted by top-tier tech and consulting recruiters (Big 4, MAANG, etc.).
🚀 Career Roadmaps & Guidance: Step-by-step guidance for freshers breaking into Data Engineering, or IT professionals transitioning from traditional ETL roles to Modern Cloud Data Engineering.
💡 Technical Consulting & Debugging: Stuck on a project? I can help you optimize cloud costs, tune PySpark jobs, or architect automated Airflow workflows.
💼 My Professional Impact (Why learn from me?):
Massive Scale: Architected end-to-end ETL/ELT pipelines processing terabytes of data using BigQuery, Databricks, Dataproc, and AWS Glue.
Cost & Performance Master: Successfully reduced cloud infrastructure costs by 30% through advanced PySpark tuning, BigQuery restructuring, and pipeline optimization.
Workflow Automation: Orchestrated complex data workflows for structured/semi-structured datasets using Apache Airflow (Cloud Composer / MWAA).
🛠️ The Tech Stack We Can Master Together:
Languages: Python, PySpark, SQL, Scala
Cloud Platforms: GCP, AWS, Azure
Data Warehousing: BigQuery, Snowflake, Redshift, Synapse Analytics
Processing & Orchestration: Databricks, Dataflow, Airflow, AWS Glue, Azure Data Factory
📫 Let’s Connect!
Book a 1:1 session with me below, or drop me a DM if you have a specific request. Let's get you interview-ready and take your Data Engineering career to the next level! 🚀