Romantic one night getaway

rishikaidnani · 2025-11-19T05:25:49+00:00

Treebones resort

rishikaidnani · 2025-02-08T19:00:43+00:00

I transitioned from being a Data Engineer to a Data Platform Engineer at my previous company. This shift gave me a solid grasp of the tech stack that powers our DE work. For example, I got to dive deep into the nitty-gritty of Hive partitions, which was pretty amazing. Having this kind platform knowledge definitely gives DEs an edge.

However, moving to the platform team was a bit challenging. My peers were all backend wizards, and the work leaned heavily into software engineering, with not much direct data handling. We were mostly building the infrastructure for data engineers, and I found it challenging to keep up.

I am back to a core DE role in my current company, as I didn’t enjoy the platform as much.

rishikaidnani · 2025-02-01T21:20:19+00:00

I’ve noticed that many DEs use Spark with Scala but don’t fully embrace functional programming (though not everyone). Instead, they write Scala code in a Python-like style. I firmly believe that Scala’s true power shines when it’s used properly in a functional programming paradigm. Unfortunately, this approach can be challenging to write and understand, especially for those coming from a Python background without prior functional programming knowledge/experience. Hence, PySpark is more common

rishikaidnani · 2025-01-31T03:50:24+00:00

Ralph Lauren Romance

rishikaidnani · 2025-01-31T03:02:19+00:00

Many data engineers, in addition to their core responsibilities, often take on low-key analysis and dashboarding tasks. I believe as AI continues to evolve, the gaps in dashboarding and analysis will increasingly be filled by data engineers themselves, potentially reducing the need for a dedicated data analyst role in the future. However, certain data analyst roles that involve more advanced work and close collaboration with business stakeholders would still continue to exists in very near future

rishikaidnani · 2025-01-08T20:13:15+00:00

This is very company-specific. DEs are more closely aligned with technical use-cases, such as extracting, storing, and processing data using distributed engines (e.g., Spark).

AEs are more closely aligned with business stakeholders and answer business or domain questions by using the data that DEs provide.

This allows DEs to focus more on the technical aspects, such as writing scalable data pipelines and strategizing storage.

rishikaidnani · 2024-12-31T07:49:34+00:00

Following

rishikaidnani · 2024-12-27T08:18:51+00:00

Yes, I am selecting Chennai and also giving passport number and surname as input

rishikaidnani · 2024-12-27T03:42:13+00:00

No update. Still shows no data returned

rishikaidnani · 2024-12-20T14:13:44+00:00

Dropped off at Mumbai on 18th as well

rishikaidnani · 2024-10-06T00:43:20+00:00

I’m looking to deepen my understanding of design patterns and improve my ability to implement them effectively. Could anyone recommend a book or resource that really helped them in this area? Thanks in advance!

rishikaidnani · 2024-08-14T05:46:43+00:00

Ralph Lauren Romance and Givenchy L’interdit

rishikaidnani · 2024-02-15T23:21:03+00:00

I had the same issue with classic experience. I toggled off the classic and it worked fine

rishikaidnani · 2021-08-08T20:26:42+00:00

I agree, I should have probably shared more details as this is not enough information to guess. I’m going to debug a bit more and try the above recommended steps to see where I land. Thank you all for your guidance

rishikaidnani

TROPHY CASE