Aakash Jagat
Data Engineer @StatusNeo | Python, SQL, Apache Spark, Airflow, GCP, Big Data Engineering
- Role
- Data Engineer at StatusNeo
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Aakash Jagat
Experienced Data Engineer currently working on Google’s Knowledge Graph team, where I design and maintain scalable big data solutions that power real-time insights across billions of queries daily. With a strong foundation in data architecture, I specialize in building and optimizing ETL/ELT pipelines, managing cloud infrastructure, and delivering production-grade data solutions that serve mission-critical systems.Proficient in Python, SQL, PySpark, and the Google Cloud Platform (GCP), I bring a hands-on approach to data engineering—leveraging tools like BigQuery, Dataflow, and Cloud Composer to streamline data integration, transformation, and orchestration. My day-to-day involves automating data workflows, ensuring data quality, and implementing CI/CD practices for smooth, reliable deployments.At the core of the Google Knowledge Graph, my role is pivotal in ensuring the accuracy, freshness, and scalability of structured data that powers billions of user interactions. My work directly supports critical features across Search, Assistant, and other Google products, making data reliability and system performance central to everything I build.Passionate about clean code, performance optimization, and cloud-native design, I\'m constantly seeking opportunities to improve data reliability and system efficiency.
Experience
Data Engineer
Nov 2025 — Present · Gurugram, IN
Data Engineer | StatusNeoCurrently working as a Full-Time Data Engineer at StatusNeo, focusing on building scalable and efficient data solutions for modern cloud-native architectures.Design, develop, and maintain scalable batch and streaming data pipelines for enterprise-scale applications.Build robust data solutions using GCP services such as BigQuery, Dataform, Dataflow, Pub/Sub, and Cloud Storage.Leverage Python, Pandas, NumPy, and PySpark along with Dataproc for large-scale data processing and analytics.Focus on optimizing data workflows, improving performance, and ensuring high data reliability and availability.Collaborate closely with cross-functional teams including data scientists, analysts, and business stakeholders to deliver impactful data solutions.Contribute to designing modern data platforms, data lakes, and data warehouses with best practices in scalability and performance.
Education
iNeuron.AI
Full Stack Data Science Masters, Business/Office Automation/Technology/Data Entry
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