Provided excellent suggestions on how to improve my chances in the interview process, and was diligent and polite throughout. Ultimately I received an offer, and I couldn’t have done it without him!
Benjamin
Pinned
An exceptional mentor who guided me through the interview process, offering tailored sessions that would have otherwise required years of industry experience
Sankeerth
Nice, and gives honest feedback
Anonymous
Jitesh explains even the most difficult technical concepts in the most clear and understandable way to the listeners.He is genuinely interested to help people improve and succeed
PRAKASH CHOKKALINGAM
Jitesh explains even the most difficult technical concepts in the most clear and understandable way to the listeners.He is genuinely interested to help people improve and succeed.He is a great mentor and planning to utilize his career guidance dedicated sessions soon.
PRAKASH CHOKKALINGAM
Soni shares all his knowledge in the field which is really helpful for someone looking for a new job in this tough market
I am a data architect with 13 years of experience, specializing in streaming technologies. I am passionate about setting up infrastructures, designing architectures, and building robust data pipelines that seamlessly integrate with DevOps practices. While at AWS and Amazon, I honed my skills as a Data Architect/Engineer, successfully taking multi-petabyte workloads to production while ensuring minimal operational burden. My expertise spans Streaming and Batch Analytics, allowing me to handle real-time applications with precision and efficiency.
I’m committed to democratizing knowledge and breaking down the complexities of Big Data. For the past two years, I’ve been writing about Spark Streaming, contributing 28 blogs on the topic. Additionally, I’ve had the privilege of coaching over 100 individuals, helping them crack data interviews and grow their careers in data. My work not only focuses on technical insights but also on broader topics like salary negotiation and financial literacy, empowering professionals in the data industry.
100% income would be Donated to Doctors Without Borders (Médecins Sans Frontières - MSF)
