Services

Priority DM . 2 days reply

Ask me anything

100
Popular
Video meeting . 30 mins

Career guidance

800
Video meeting . 30 mins

1:1 Mentorship

Mentorship in Data Engineering and Analytics
800
Video meeting . 15 mins
5

Resume review

500
Video meeting . 30 mins

Interview prep & tips

800
Video meeting . 45 mins
5

Mock interview

1,000
Popular

Ratings and feedback

5/5
4 ratings
3
Testimonials
5/5
Really useful session. I got a much better idea of what recruiters actually look for and how to make my resume stronger.Thanks for the help!!
5/5
Aniket was incredibly helpful, providing detailed feedback on my resume and clear guidance on the skills I should focus on. I highly recommend him for gaining a deeper understanding of your strengths and addressing gaps in your skill set.
5/5
It was a very helpful session. Aniket provided feedback in a clear and structured way. Thanks a lot

About me

Experienced Data Engineer with a passion for crafting innovative solutions that drive data-driven decision-making over Cloud. Over 10 years of expertise in designing and developing robust data pipelines, architecting scalable cloud solutions, and exploring data analytics. Ability to thrive in dynamic environments that demand agility, creativity, and a commitment to excellence. ** Professional Summary ** - Orchestrating end-to-end data pipelines on AWS, utilizing Lambda, RDS, Kinesis, DynamoDB, Glue, Event Bus, Redshift, Athena, IAM, SQS etc. for seamless data flow. - Mastering the intricacies of RDBMS and NoSQL for ETL solutions, ensuring data integrity and performance optimization. - Spearheading key phases of the application development lifecycle, from Planning and Analysis to Design, Implementation, and Execution. - Published 7 research papers including 2 International (IEEE) Journals . ** Let's Connect ** Very keen on collaborating with fellow data enthusiasts, architects, and professionals. If you feel the same, Let's connect and explore the possibilities of learning! #DataEngineering # DataEngineer #CloudSolutions #Analytics #AWS #BigData #Agile #TechInnovation