Nishchay Agrawal — Machine Learning Engineer

Experienced Senior Data Engineer at Walmart with demonstrated work in the information technology and services industry. Strong engineering professional with a B.tech focused in CSE. Also, holding a certificate for being 𝐆𝐨𝐥𝐝 𝐌𝐞𝐝𝐚𝐥𝐢𝐬𝐭 𝐢𝐧 𝐁.𝐭𝐞𝐜𝐡 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐔𝐭𝐭𝐚𝐫𝐚𝐤𝐡𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 ❤️ 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: DB2, PostgreSQL, MySQL, Aurora Database 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤𝐬: Hadoop, Spark, Zeppelin, Hive, PySpark, HDFS, Kafka, Kafka Connect, Spark Structured Streaming, Confluent 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Airflow, Autosys Job Scheduler, Azkaban 𝐎𝐧-𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚𝐋𝐚𝐤𝐞𝐡𝐨𝐮𝐬𝐞 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤: AWS Databricks, Azure Databricks, Metabase 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜 𝐞 𝐓𝐨𝐨𝐥𝐬: Spline Data Lineage, Datahub, Presto, Sqlglot 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈: Gen AI-based LLM models GPT 3.5, Gemini, Agentic AI, RAG, Langchain, Langgraph, Google ADK, Chroma, Milvus vector database, Chainlit, MCP Server 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: AWS, Azure, Docker, GCP, Spark Serverless 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 & 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠: Snowflake, Redshift, Data Model, No Code Analytics, Datahub Cataloging Tool, Druid OLAP, Superset, Redshift, Bigquery 𝐂𝐚𝐭𝐚𝐥𝐨𝐠𝐢𝐧𝐠 𝐓𝐨𝐨𝐥: Datahub, Data Observability, Data Governance, Data Discovery, Data Modeling 𝐃𝐚𝐭𝐚 𝐋𝐚𝐤𝐞: AWS Delta Lake, Hudi Data Lake 𝐍𝐨𝐒𝐐𝐋: MongoDB, Cassandra 𝐎𝐎𝐏𝐒 & 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, Java Springboot, JPA, Hibernate, Flask, React 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐨𝐨𝐥𝐬: Kubernetes, AWS EKS, Docker, Helm Chart, CI/CD Jenkins, Terraform, SonarQube Code Coverage I share insights about my journey in data engineering, including how to crack Top Product companies, data engineering roadmaps and more on my LinkedIn. I thoroughly enjoy this rewarding journey.

Stackforce AI infers this person is a Data Engineering expert with a strong focus on cloud and big data technologies.

Location: Bengaluru, Karnataka, India

Experience: 5 yrs 4 mos