Hi everyone,

I'm a 5+ YOE Data Engineer currently working primarily with Databricks, AWS, PySpark and SQL.

I'm currently at 9.5 LPA, with a 14 LPA offer in hand and a few other discussions/interview processes in the pipeline. My current LWD is December 8, and my goal is to land a 25+ LPA role before December.

With my current resume, I'm already getting around 2–5 recruiter calls per week through Naukri, so I'm trying to understand whether updating my resume would actually improve the quality/conversion of opportunities or whether I should stick with the current version.

My profile

• 5+ YOE in Data Engineering
• Current CTC: 9.5 LPA
• Offer in hand: 14 LPA
• Other interview/discussions currently in pipeline
• LWD: December 8
• Primary stack: Databricks, AWS, PySpark, SQL
• Databricks Certified Data Engineer Professional
• Currently getting around 2–5 Naukri calls/week
• Target: 25+ LPA

What I changed in the new resume

The overall experience and technology stack are the same. The main changes are around quantifying the scale and impact of my work.

Some of the major additions:

• Added migration scale of 300+ tables and ~700 GB–1 TB into Databricks.
• Added a performance optimization where an ingestion job was reduced from 2 hours to 10 minutes (~92% faster).
• Added automation that reduced analysis effort from roughly 1 hour for 10–20 tables to seconds for ~1,000 tables.
• Added mentoring/code-review responsibilities for trainee engineers.

What I'm trying to understand

Since the current resume is already generating 2–5 calls/week, would you recommend that I update my Naukri profile with the revised version, or should I continue using the current one?

I'd particularly appreciate feedback on:

1. Does the new version make me look stronger for 20–25+ LPA Data Engineering roles?
2. Do the quantified achievements improve the resume meaningfully?
3. Is there anything in the revised version that could actually hurt my chances?
4. Are there any important gaps in my profile/resume for Databricks/AWS Senior Data Engineer roles?
5. Given my current 9.5 LPA → 14 LPA offer, is targeting 25+ LPA realistic with this profile, or should I position myself differently?

I've attached both the current and revised resumes for comparison.

Would appreciate feedback from recruiters, hiring managers, or Data Engineers who have recently gone through the Indian job market, especially for Databricks/AWS roles.

Thanks!

older_version

updated_version

I’m a Data Engineer with 4+ YOE, currently at 9.5 LPA. I recently received and accepted an offer from LTM for 12 LPA. I asked for more like 18LPA but they only gave 12LPA since I have 90 days np

I'm in day 1 of 90, and my main concern is the job search during this period.

For those who have gone through this recently:

-- Does the number of opportunities/calls improve significantly once you reach 60 days, 30 days, or the final 15 days?

-- What should I be doing during my notice period to maximize my chances of getting a better offer?

Any dos and don’ts when applying/interviewing while serving notice?

-- Is it worth trying to negotiate an early release?

I’m planning to keep applying rather than just waiting for the LTM joining date. Would really appreciate advice as this is my first job switch.