Ameer Sohail Syed

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.

Experience

1. Data Engineer

   Accenture

   Dec 2025 — Present · 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