Shreyans Satpathy — Data Engineer

👨‍💻 𝐖𝐇𝐀𝐓 𝐈 𝐃𝐎 As a Data Engineer, I specialise in building scalable data pipelines using Spark, optimising SQL models, and developing cloud-native data products. I’ve delivered measurable impact at Mercedes-Benz, tackling challenges like: ✔ 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 & 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 – 𝗕𝘂𝗶𝗹𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝘂𝘀𝗶𝗻𝗴 𝗔𝘇𝘂𝗿𝗲 𝗗𝗮𝘁𝗮 𝗙𝗮𝗰𝘁𝗼𝗿𝘆, 𝗣𝘆𝗦𝗽𝗮𝗿𝗸 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀 ✔ 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗮𝘁𝗶𝗼𝗻s – 𝗧𝘂𝗻𝗲𝗱 𝗦𝗽𝗮𝗿𝗸 𝗷𝗼𝗯𝘀 𝗮𝗻𝗱 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝘁𝗼 𝗰𝘂𝘁 𝗿𝘂𝗻𝘁𝗶𝗺𝗲𝘀 𝗯𝘆 𝟵𝟬% 𝗮𝗻𝗱 𝗿𝗲𝗱𝘂𝗰𝗲 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀 𝗯𝘆 𝟯𝟱% ✔ 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 – 𝗗𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 𝗶𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗮𝗻𝗱 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 ✔ 𝗔𝗜 & 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 – 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗲𝗱 𝗟𝗟𝗠-𝗱𝗿𝗶𝘃𝗲𝗻 𝘁𝗲𝘅𝘁 𝘁𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝗹𝘂𝘀𝘁𝗲𝗿𝗶𝗻𝗴 (𝗕𝗘𝗥𝗧, 𝗛𝗗𝗕𝗦𝗖𝗔𝗡) 𝗳𝗼𝗿 𝗺𝘂𝗹𝘁𝗶𝗹𝗶𝗻𝗴𝘂𝗮𝗹 𝗰𝗹𝗮𝗶𝗺𝘀 ✔ 𝗖𝗿𝗼𝘀𝘀-𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 – 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝗲𝗱 𝘄𝗶𝘁𝗵 𝗣𝗿𝗼𝗱𝘂𝗰𝘁, 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗮𝗻𝗱 𝗖-𝘀𝘂𝗶𝘁𝗲 𝘁𝗼 𝗮𝗹𝗶𝗴𝗻 𝗱𝗮𝘁𝗮 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝗲𝘀 𝗮𝗻𝗱 𝗱𝗿𝗶𝘃𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 💻 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 & 𝐂𝐎𝐌𝐏𝐄𝐓𝐄𝐍𝐂𝐈𝐄𝐒 🔹Data Engineering & Cloud ✔ ETL/ELT Pipelines – PySpark, Databricks, Azure (Data Factory, Synapse, Fabric, ADLS Gen2) ✔ SQL & Query Optimisation – Relational + Dimensional modeling, medallion architecture, OLTP/OLAP, spark performance tuning, PostgresSQL ✔ Data Modeling – Star Schema, Snowflake Schema, Delta Lake, Data Warehousing and Lakehouse 🔹 Analytics & BI ✔ Data Visualisation – Power BI, Tableau ✔ Analytics – A/B testing, segmentation, Predictive analytics, Customer Analytics, Supply-chain analytics 🔹Machine Learning & AI ✔ Predictive Modeling – Regression, statistical analysis, clustering, forecasting ✔ NLP & Clustering – LLMs, BERT, HDBSCAN, Transformers 🔹Business and Leadership: ✔ Stakeholder Management, Business Storytelling, Strategic Thinking, Problem-Solving 🔹𝐂𝐄𝐑𝐓𝐈𝐅𝐈𝐂𝐀𝐓𝐈𝐎𝐍𝐒 ✔ Databricks Certified Data Engineer Professional ✔ Databricks Certified Data Analyst Associate ✔ Microsoft Certified: Azure Data Engineer Associate Currently pursuing my 𝗠𝗮𝘀𝘁𝗲𝗿’𝘀 𝗶𝗻 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝘁 𝗨𝗖𝗟𝗔 𝗔𝗻𝗱𝗲𝗿𝘀𝗼𝗻, where I am building expertise in data strategy, product management, and AI-first analytics.Feel free to connect or drop a message! 🚀

Stackforce AI infers this person is a Data Engineering specialist with a strong focus on cloud-native solutions and analytics.

Location: Los Angeles, California, United States

Experience: 3 yrs 3 mos