5

Discovery Call

Video Meeting
15 mins
Video Meeting
0 +

Ask me anything

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0 +

Have a question?

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0 +
Popular

Interview prep & tips

Video Meeting
30 mins
Video Meeting
800
5

1:1 Mentorship

Video Meeting
30 mins
Video Meeting
800

Mock interview

Video Meeting
60 mins
Video Meeting
1,300

Technology Consultation

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Replies in 2 days
Priority DM
0 +

Priority DM

Priority DM
Replies in 2 days
Priority DM
0 +

Resume review

Video Meeting
30 mins
Video Meeting
800

Career guidance

Video Meeting
30 mins
Video Meeting
800

Quick chat

Video Meeting
30 mins
Video Meeting
800

Ratings and feedback

5/5
2 ratings
2
Testimonials
5/5
The session along with the resources he shared was very helpful and insightful, looking forward to connect again.
5/5
I really liked the way how he understood what I am go through in my project and his data architect insights added lot of value and direction to my thought process. looking forward to work with him again.

About me

Data Engineering, Analytics, Architecture, and AI/ML thought leader with deep experience in data systems both on-prem and azure-cloud. Proven expertise in architecting, delivering, and maintaining, enterprise-grade cloud & bigdata products, data platforms, ML solutions, robust real-time and batch data ingestion & migration framework with complex data processing and reporting systems. I am a data advocate and innovation enthusiast who believes in applying state-of-the-art technologies to solve complex business problems. Data & Analytics • Data Strategy & Roadmap • Data Engineering • Data Platform • Data Products • Data Governance • Data Integration • Data & Solution Architecture • Business Intelligence & Reporting AI & ML • ML model deployment and lifecycle management • MLOps • AIOps • Computer Vision • NLP, NLU • Scikit, Huggingface, TensorFlow Solution Architecture • Data Mesh • ETL & ELT • Lambda • Kappa • Microservices • Cloud Architecture Patterns. Technology Landscape • Hadoop Ecosystem: HDFS, MR, Hive, Oozie, Sqoop, Apache Falcon, Data Lake • Spark Ecosystem: Apache Spark, Databricks, Structured Streaming, Spark SQL, Data Lake, Delta Lake • Streaming & Messaging Platform: Apache & Confluent Kafka • Azure Cloud: Infra Components, ADF, EventHub, Stream Analytics, AKV, Log Analytics, Azure SQL, etc • SQL / NOSQL: SQL, Cassandra, MongoDB, Neo4J, ELK Stack • DevOps Tools - CI/CD, Jenkins, Azure DevOps, GIT, Confluence, Jira