Testimonials
I had a 1:1 mentorship with kaushal and he's really fantastic at this job. We had connected after a long and he had given me really practical advice on evaluating compensation as per market standards, making effective job switches and much more. Alon with his technical expertise, he's are a really good listener too. He tried to understand the problems from my perspective and gave me actionable solutions. I'd highly recommend anyone to to seek Kaushal's guidance if you're facing any concerns.
Kaushal was simply the solution to all my problems. He was clear concise and gave dedicated guidance.
I had been preparing for data engineering interviews for the past couple of months but wasn’t able to crack the technical rounds. So, I decided to take a mock interview with Kaushal. Even though it was a mock session, it felt like a real interview, and I gained a lot of valuable insights from it. Kaushal was very helpful, and toward the end of the session, we discussed my weak areas and where I need to improve. Overall, it was a great experience that really helped me enhance my skills.
Had an L1 mock interview with Kaushal today, and it genuinely felt like a real interview. The questions were challenging and aligned well with actual Data Engineering interview standards. At the end, we thoroughly reviewed all my responses, and he provided detailed, constructive feedback on where I did well and where I need improvement. Overall, the session helped me significantly in boosting my confidence for DE interviews.
Services
Video meeting . 45 mins
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Start your Fitnees journey today with the right mindset
Video meeting . 30 mins
Video meeting . 45 mins
5
Video meeting . 30 mins
Video meeting . 30 mins
5
Video meeting . 60 mins
5
About me
6+ years of professional experience in data engineering, specializing in Big Data, Spark, and ETL pipeline development across cloud platforms. Proven expertise in enterprise data warehouse management, query optimization, and automating data migration and reporting processes. Skilled in orchestrating data workflows with Airflow, Databricks Lakehouse, and AWS technologies (S3, Redshift, Lambda) to enhance data accessibility, reduce processing times, and support large-scale machine learning and analytics applications. Strong track record of improving data quality, operational efficiency, and decision-making through real-time data integration and comprehensive data pipeline management.