Headline

Cloud Data Engineer @AWS | ETL | BigData | SQL| PySpark | Hive

About

I help enterprises solve complex data engineering and analytics challenges on AWS, bringing hands-on experience in building scalable ETL pipelines, lakehouse architectures, and cost-efficient analytics systems. Currently a Cloud Data Engineer – Data & ETL at AWS, I work with global customers running large-scale analytical workloads across AWS Glue, Athena, Redshift, and modern table formats like Hudi, Iceberg, and Delta Lake. I help teams diagnose performance issues, optimize distributed pipelines, and design scalable data platforms. Key impact: • Reduced ETL pipeline execution time by 83% (4 hours → 20 minutes) by optimizing Glue PySpark partitioning and parallelism • Resolved large-scale lakehouse ingestion issues across 100M+ record datasets using Apache Hudi, Iceberg, and Delta • Designed scalable lakehouse architectures using Glue, Athena, Redshift Spectrum, and Lake Formation • Reduced analytics costs by 25% through query optimization, partition pruning, and storage tuning • Implemented data quality frameworks to detect schema drift and data anomalies before warehouse loads Previously at Capgemini, I designed analytical data models, optimized SQL reporting systems, and developed cloud-based applications handling high-volume transactional workloads. Tech stack: AWS (Glue, Athena, Redshift, S3, Lake Formation, MWAA) • PySpark • Python • SQL • Apache Hudi • Iceberg • Delta Lake • Data Modeling • ETL Optimization AWS Certified Solutions Architect. Let's connect: [hazrarimi36@gmail.com](mailto:hazrarimi36@gmail.com)

Location

Hyderabad

AI stack

claude

codex

cursor

kiro

langgraph

claudecode

Work experience

Cloud Data Engineer 1 at Amazon Web Services (AWS), Dec 2025 - Present · 9 mos, Analyzed ETL failure patterns across 50+ Glue workloads, identified performance bottlenecks, and improved job stability through partition optimization and schema restructuring

Cloud support associate at Amazon Web Services (AWS), Oct 2024 - Dec 2025 · 1 yr 3 mos, Hyderabad, Telangana, India, Data platform Engineering specialist currently functioning as a Cloud Support Engineer for high-scale ETL architectures. Expert in root-cause analysis for distributed systems (Spark/Glue/Redshift) and performance tuning for multi-terabyte datasets. Leveraging deep knowledge of AWS service limits and failure modes to design resilient, fault-tolerant data pipelines. Proficient in Python, SQL, and Infrastructure-as-Code.

Software Engineer/analyst at Capgemini, Dec 2023 - Oct 2024 · 11 mos, Hyderabad, Telangana, India

Summer Intern at Persistent Systems, Jan 2022 - May 2022 · 5 mos, Remote

Education

Bachelor of Technology - BTech, Information Technology, Bengal Institute Of Technology

ISC, Sri Aurobindo Institute of education,kolkata