💻 Data Engineer | 🧠 AI/ML Enthusiast | ☁️ Cloud Explorer

• 🎓 I'm a Computer Engineering graduate from Mumbai University
• 💼 Previously worked as a Data Engineer at Khushibaby, focused on health data pipelines and analytics
• 🛠 I’ve built end-to-end ETL pipelines using tools like Airflow, Dagster, Mage, Spark, and Kafka
• 🌱 Currently experimenting with Azure Databricks, PySpark, and Delta Lake for building scalable pipelines
• 🎯 Goal: Transition into advanced AI/ML Engineering roles in the cloud/data space
• 🧩 Interested in real-time data processing, large-scale data warehousing, and model deployment

Languages:
Python | SQL | Java | C/C++

Data Engineering:
Apache Airflow | Mage.ai | Dagster | Spark | Kafka | Pandas | Delta Lake

Cloud & Tools:
Azure Databricks | GCP (BigQuery, GCS) Docker | Kubernetes | Git | VSCode | Jupyter

End-to-end pipeline using GCP + Mage AI + Looker Studio

• Loaded raw NYC taxi data into GCS.
• Performed transformations using Mage and stored results in BigQuery
• Visualized KPIs and trends using Looker Studio
• 🔗 GitHub Repo

Final Year Academic Project — Deep Learning-based Fire Detection System

• A fire detection model utilizing Python, TensorFlow, and Keras
• Compiled and preprocessed a varied dataset of fire and non-fire scenes
• Designed and trained a Convolutional Neural Network (CNN) for accurate image classification
• Integrated the model seamlessly with a camera using OpenCV, demonstrating practical application of computer vision skills

• Databricks Delta Lake & PySpark
• Real-time & near real-time data processing techniques
• Building a real-time weather data pipeline using OpenWeatherMap API → Azure Event Hub → Databricks Structured Streaming → Delta Lake on ADLS Gen2 for analytics and ML readiness.

• 📧 Email: ishamhatre.work@email.com
• 💼 LinkedIn

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