Atul Matvar — Data Engineer

I’m a Data Engineer / Data Platform Engineer with 9+ years of experience building scalable Big Data and Cloud Data Platforms in FinTech and enterprise analytics domains. I specialize in designing modern Lakehouse architectures, building high-performance ETL/ELT pipelines, and delivering analytics-ready datasets that power business-critical dashboards, KPI reporting, and product decision-making. I have worked in high-scale environments at One97 Communications (Paytm) and Paytm Payments Bank, where I gained hands-on exposure to enterprise-grade data ecosystems, governance frameworks, and large-scale reporting platforms. Currently, I’m working at Algoworks Technology Pvt. Ltd., where I design and implement an AWS Lakehouse platform using Apache Iceberg on S3 following a Medallion Architecture (Bronze/Silver/Gold). I integrate complex data sources like OneStream (REST APIs), JDE, and TMS, and deliver curated Gold datasets for enterprise analytics and Power BI reporting. What I Do Best ✅ Data Platform Engineering Lakehouse Architecture ✅ Building scalable ingestion + transformation frameworks ✅ Batch + incremental pipeline design using Spark ✅ Data modeling, optimization & governance-ready datasets ✅ Cloud-native analytics on AWS (Glue, Athena, S3, Redshift Spectrum) ✅ Data Quality, reconciliation & monitoring frameworks Tech Stack Python | SQL | Apache Spark | PySpark | Spark SQL | AWS Glue | S3 | Athena | Redshift Spectrum | Iceberg | Kafka | Hadoop | Hive | Trino Key Highlights: Improved query performance by 40% by driving migration and optimization using Trino. Reduced cluster overhead by 30% through optimized ETL execution and tuning. Supported migration of workloads from on-prem to AWS, improving scalability and cost efficiency. Delivered trusted KPI datasets powering business dashboards through strong reconciliation & validation frameworks Career Goal I’m passionate about building scalable, reliable, and governed data platforms that enable organizations to unlock real-time insights and faster decision-making. I’m particularly interested in working with product-based, data-driven organizations where data is treated as a core product asset. Email: atulmatvar2@gmail.com Open to connecting with professionals in Data Engineering, Data Platforms, Cloud Architecture, and Analytics Engineering.

Stackforce AI infers this person is a Data Engineer specializing in Fintech data platforms and cloud architecture.

Location: Delhi, Delhi, India

Experience: 9 yrs 6 mos