Shrey Agrawal

Data Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

3+ years of experience in data engineering.
Expert in building scalable data pipelines and architectures.
Proven success in optimizing high-volume data workflows.

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

Contact

agrawalshrey10@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringCloud Infrastructure

Other Skills

Apache KafkaSnowflakeGoogle Cloud Platform (GCP)DatabasesIcebergData MigrationPySparkDatabricksPython (Programming Language)SQLExtract, Transform, Load (ETL)Data PipelinesData WarehousingData LakesAmazon Relational Database Service (RDS)

About

Data Engineer at CRED Data Platform | Python - PySpark - SQL - Apache Spark - Kafka - Airflow - AWS (S3, EMR, Glue, EKS, ECS) - Databricks - Snowflake - Apache Flink - DynamoDB - Hadoop ETL / ELT Pipelines • Streaming Data • Data Lakehouse • Delta Lake • Iceberg • dbt • Trino - Great Expectations - Kubernetes bits - Redshift - Polars - Data Quality - CI/CD - Big Data Engineer - Scala - Governance - Observability Data warehouse (Prometheus, Datadog) - Clickhouse - Redis - iceberg - Athena - lambda - DMS - Kinesis - Migration - Real Time Streaming specializing in distributed systems with 3+ years of experience building scalable solutions in product based companies from fintech and e commerce. Proven track record optimizing high-volume data pipelines and implementing fault-tolerant architectures that handle enterprise workloads. Experienced in microservices design, RESTful APIs, and cloud infrastructure (AWS, GCP, Azure) with a focus on performance optimization. Open to Global Remote Roles & Visa Sponsorship. Data Engineer | Data Platform | Big Data Let’s connect and discuss how we can collaborate! #DataEngineering

Experience

2 yrs 11 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 3 mos

Current Experience

Cred

Data Engineer

Mar 2025 – Present · 1 yr 3 mos · Bengaluru · Hybrid

Working on large-scale data platform and data engineering systems supporting modern fintech and digital payments ecosystems.
Focused on building scalable data infrastructure, batch and real-time data pipelines, and distributed processing systems using modern cloud and big data technologies.
Experience working with high-volume financial data, payment platforms, event streaming architectures, and cloud-native data platforms.
Interests include data platform architecture, large-scale analytics, and globally distributed data systems.

Apache KafkaSnowflakeData EngineeringCloud Infrastructure

Raptor supplies limited

Data Engineer

May 2023 – Jan 2025 · 1 yr 8 mos · Delhi, India · Hybrid

Contributed to data engineering and data platform initiatives supporting global ecommerce and supply chain data ecosystems.
Worked with cloud-based data infrastructure, distributed data processing systems, and modern analytics platforms to enable scalable data workflows.
Migrated 200TB to Iceberg lakehouse; 40% latency drop.
Architected PySpark ETL on Databricks; cut Snowflake query time 60% via clustering.
Experience collaborating across teams to support data-driven applications, reporting systems, and business intelligence platforms.
Interested in opportunities across ecommerce, fintech, SaaS, healthcare, and data platform engineering teams.
Open to remote-first roles and global opportunities and HFT (high frequency trading)
Hedge fund / high frequency trading firm.
quantitative analysis
streaming