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Ameer Sohail Syed
Data Engineer @Accenture
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WORK HISTORY
Data Engineer @Accenture
NY, US
Engineered large-scale Data Lakehouse platforms on AWS and Databricks, optimizing Spark and SQL workloads to process multi-terabyte datasets for real-time banking and financial analytics.• Developed end-to-end ETL/ELT pipelines with AWS Glue, EMR, Lambda, and Step Functions, enabling real-time ingestion, transformation, and orchestration of high-value financial data.• Built real-time streaming frameworks using AWS Kinesis, Confluent Kafka, and Spark Streaming to power fraud detection, compliance monitoring, and high-frequency trading insights.• Designed resilient, cloud-native environments leveraging AWS (S3, Redshift, Glue, and EC2) and Databricks to ensure scalability, fault tolerance, and regulatory compliance.• Automated data quality validation and ETL workflows with Python, SQL, and Linux scripting, improving accuracyand reducing pipeline latency in mission-critical banking applications.• Tuned PySpark algorithms on AWS EMR and Databricks, achieving cost-efficient performance gains for large-scale analytics and ML workloads.• Leveraged multi-language frameworks (Scala, Java, Python, SQL) to optimize pipelines across machine learning, compliance, and real-time reporting use cases.• Spearheaded migration of legacy platforms to AWS, integrating Terraform, Ansible, and GitHub Actions forinfrastructure-as-code and automated CI/CD deployments.• Architected scalable, cloud-driven big data ecosystems covering ingestion, storage, processing, analytics, andvisualization to support ML and BI initiatives.
EDUCATION
ACE Engineering College, Hyderabad
Bachelor of Technology - BTech, Computer Science
Kendriya Vidyalaya
10th
Kendriya Vidyalaya
Intermediate , MPC
University of Alabama at Birmingham
Master of Science - MS, Data Science
ABOUT AMEER SOHAIL SYED
I am a Data Engineer with 3+ years of experience building scalable data pipelines and cloud-based data platforms. I work with Python, SQL, PySpark, Databricks, Kafka, and cloud technologies (AWS, Azure, GCP) to transform raw data into reliable datasets for analytics and decision-making. I have hands-on experience in ETL/ELT development, real-time and batch processing, and data warehousing, with a strong focus on data quality and performance optimization. I enjoy solving complex data problems and collaborating with teams to deliver data-driven business solutions, and I am open to connecting and exploring opportunities in Data Engineering and Big Data.
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