Thank you, Akshay. Your guidance has been incredibly helpful
Praveen Teja Kuppala
Pinned
It was great talking to Akshay! He was very helpful in clearing all my doubts and provided me with valuable guidance on my path. His friendly attitude made it easy to approach him with questions. I truly appreciate the extra time he put to answer my questions. I would highly recommed Akshay to anyone seeking mentorship, he was indeed a great guide!✨
Jinka Neha
Pinned
Akshay was very helpful, has good knowledge of Data engineering. Every session is a gold mine with him. Just go for it!
Pulkit Gupta
Pinned
I recently did a mock interview with Akshay Kumar for the AWS Data Engineer role, and it was a really helpful experience. His questions were on point, covering important AWS tools and data engineering topics that helped me think through real-world problems. Akshay made the whole process comfortable and easy to follow, which helped me stay focused and gave me more confidence for future interviews!
Praveen Teja Kuppala
Pinned
Had a good conversation about Data Engineer. Akshay gave me clear insights about how a Data Engineer role will be and what are the skills you need to have.
Karanam Sai Phani Teja
Pinned
I wanted to take a moment to express my sincere gratitude for the incredible session we had. Your insights into data engineering were extremely valuable and helped me gain clarity on several topics, I really appreciated the time you took to address my questions and guide me through the complexities of data engineering. Thanks again for your time and valuable suggestions. I look forward to staying connected and learning more from you in the future.
I just had a great conversation with Akshay, where he shared his experience and offered valuable advice on learning and adopting new skills. It was a good opportunity to speak with him, and I appreciate the insights he provided, especially regarding interview preparation and daily work. I also want to thank you for sharing your project experiences. Thanks again for taking the extra time to give more detailed insights!
N Prashanth Reddy
22nd Sep, 2024
5/5
Have alot of knowledge
Razab Bharti
22nd Sep, 2024
About me
I'm a Senior Data & AI Engineer who builds the systems that make enterprise data actually usable pipelines, lakehouses, and now the agentic AI layer that sits on top of them.
Five years in, I've worked across the full stack of modern data engineering - cloud platforms, dimensional modeling, large-scale PySpark, orchestration, and most recently AI agents and retrieval systems. I care about the unglamorous parts: clean grain, sane contracts, fast queries, pipelines that don't wake people up at 3am. I also care about the new parts — how LLMs, agents, and protocols like MCP are changing what a data platform is for.
Currently at Bristol Myers Squibb, leading the data and AI layers of an internal intelligence platform. Always up to talk shop on data, AI, or anything in between.
SkillSet:
Programming: Python, SQL, PySpark, Scala
Cloud — AWS: S3, Glue, Lambda, Athena, Redshift, SQS, SNS, EventBridge, AppFlow, DataZone, Secrets Manager, Lake Formation, EKS, RDS Aurora DB, Step Functions, CodeBuild, Kinesis Firehose, EC2, DynamoDB, EMR, OpenSearch, Bedrock
Cloud — Azure: Databricks, Azure Data Factory (ADF), Synapse, Azure Data Lake Storage (ADLS Gen2)
Lakehouse, Warehousing & Analytics Engineering: Snowflake, Apache Iceberg, Delta Lake, Iceberg UniForm, ClickHouse, Redshift, PostgreSQL, SAP HANA, Databricks Serverless SQL Warehouse, Photon, dbt-core (Glue and Databricks adapters), Unity Catalog, Delta Live Tables, Kedro, Impala, Hive, MySQL, NoSQL, BigQuery, Data Marts, Data Lake, Glue Studio
Data Modeling: Kimball Dimensional Modeling, Star Schema, Snowflake Schema, SCD Types 1/2/3, Medallion (Bronze/Silver/Gold), Data Vault, Fact and Dimension Design, Semantic Layers
Orchestration & CI/CD: Apache Airflow, Dagster, AWS Step Functions, Databricks Workflows, Databricks Asset Bundles, Control-M, GitHub Actions, Jenkins, AWS CodeBuild, EventBridge
AI / GenAI: LangGraph, LangChain, Model Context Protocol (MCP), A2A Protocol, AWS Bedrock, Amazon Titan Embeddings, pgvector, RAG, Hybrid BM25 + Vector Search, NL-to-SQL, SQLGlot, AWS OpenSearch, NLP, Regex, NER
Big Data & Processing: Apache Spark, PySpark, Hadoop, Hive, ETL, Batch Processing, Big Data, Performance Tuning
DevOps & Observability: Grafana, Langfuse, Kubernetes, Docker, Git
BI & Visualization: Power BI, Tableau, Excel, Matplotlib
Fundamentals: Data Structures and Algorithms, OOP, System Design, Problem Solving, Data Warehousing, ETL Pipelines, Agentic AI Systems, Multi-Agent Orchestration
Akshay Kumar offers insightful and practical guidance in data engineering, empowering mentees with confidence and actionable advice.
AI-generated based on testimonials