Ankur Zalavadiya
Data Engineer | expertise in designing and implementing scalable data pipelines, ETL/ELT processes, streaming solutions and analytics dashboards | Azure services, Databricks, Spark, Snowflake, DBT, Kafka
- Role
- Data Engineer at Dcm Shriram Ltd
- Location
- Surat, GJ, IN
- LinkedIn followers
- 500 followers
About Ankur Zalavadiya
I\'m an experienced Data Engineer with expertise in designing and implementing data pipelines, data warehousing, real-time streaming solutions, and analytics dashboards. I have hands-on experience on delivering data solutions and data-driven insights that drive business growth, reduce operational costs, and optimize decision-making across e-commerce, retail, and healthcare domains. Technical Expertise:1. Data Engineering: Databricks, Apache Spark, DBT, Snowflake, Airflow, Apache Kafka, Delta Lake, Lakehouse, Data modeling.2. Cloud Platforms: Azure (Data Factory, Synapse Analytics, Functions)| AWS (Athena, Glue, Lambda, S3, EC2, Step Functions), Microsoft Fabric3. Programming: Python, SQL, Pandas, Polars, DuckDB, Scrapy, Playwright.4. Visualization: Power BI, Tableau.5. DevOps: Azure CI/CD, Docker, Kubernetes, Git. Professional Experience: Impact Highlights:• Over the past 5 years I\'ve Designed and implemented 30+ end-to-end data pipelines, processing over 10M+ records daily using Databricks, PySpark, and Azure data services.• Delivered 25+ analytics projects that generated average revenue increases of 18% and Collaborated with stakeholders to translate business requirements into technical solutions.• Built real-time data streaming solution using Apache Kafka and Confluent Platform, ingesting 500K+ healthcare transaction records daily and processing them through Kafka Streams for real-time patient analytics and billing reconciliation• Created Apache Spark Structured Streaming jobs integrated with Kafka topics for real-time clickstream analysis, generating personalized product recommendations and cross-selling/up-selling strategies that increased e-commerce client revenue by 28%• Implemented real-time inventory tracking systems processing 2M+ inventory updates daily, enabling predictive stock replenishment and reducing inventory holding costs by 32% Featured Projects:1. E-commerce Analytics Pipeline: Built end-to-end solution processing 500K+ daily Shopify transactions using Azure Data Factory, Databricks, Synapse Analytics, Tableau2. Healthcare Patient Data Integration & Analytics: I built real-time streaming platform using Apache Kafka on Azure Databricks processing 500K+ daily records, Developed Kafka Connect pipelines for seamless integration between scheduling, billing, and reporting systems.“Data engineering isn’t about perfect data; it’s about building the perfect environment for data to thrive.”Always ready to solve real-world data problems!
Experience
Data Engineer
Oct 2025 — Present
Education
Vishwakarma Government Engineering College
Bachelor of Technology - BTech
2017 — 2020
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