Mohammed Ansari
Irving,TX
Summary
Innovative AWS Data Engineer with 5+ years of experience architecting scalable cloud solutions, building real-time data pipelines, and optimizing big data ecosystems. Proven success in reducing cloud costs, accelerating analytics, and delivering ML-powered insights. Expert in AWS (S3, EMR, Glue, Redshift, Lambda, Kinesis, SageMaker), Spark, Hadoop, SQL, and data visualization tools. Passionate about automation, performance tuning, and enabling data-driven decision-making across enterprise environments.
Experienced with creating and managing robust data pipelines in AWS. Utilizes advanced data processing techniques to ensure reliable and efficient data flow. Strong understanding of cloud architecture and automation, contributing to seamless data integration and management.
Overview
7
7
years of professional experience
Work History
AWS Data Engineer
Various Clients
07.2024 - Current
- Led cloud transformation projects for Fortune 500 clients in finance, retail, and healthcare.
- Designed real-time streaming pipelines for multi-terabyte workloads.
- Delivered ML-driven insights reducing forecasting errors by 22%.
- Automated ETL frameworks with PySpark & Hive, cutting onboarding time by 40%.
- Contract Assignments
AWS Data Engineer
American Express
12.2023 - 06.2024
- Designed enterprise-grade Data Lake for real-time analytics and fraud detection.
- Built Spark/PySpark pipelines on EMR, reducing ETL runtimes by 35%.
- Architected secure S3 framework with Lambda & DynamoDB for PCI DSS compliance.
- Integrated ML pipelines with Kinesis, S3, and SageMaker to predict demand patterns (+18% accuracy).
- Automated EC2 cost optimizations, saving 20% annually.
- Created executive dashboards in Kibana & QuickSight, reducing manual reporting by 15+ hours/week.
- Partnered on Kerberos-secured Hadoop clusters for Hive, Pig, and MapReduce.
- Contract
Data Analyst
Tata Consultancy Services
06.2018 - 09.2022
- Developed ETL workflows in SSIS and Spark, boosting processing speed by 30%.
- Migrated legacy systems to AWS, improving scalability and performance.
- Built Tableau dashboards and SSRS reports for real-time insights.
- Applied ML models (classification, regression, clustering) using Spark MLlib & Scikit-learn.
- Automated job scheduling with Oozie, reducing manual effort by 50%.
- Awarded “Rising Star Analyst” for outstanding delivery.
Education
Master's - Computer Information Science
Concordia University
01.2023
Bachelor's - Information Technology
Osmania University
01.2019
Skills
- Cloud Platforms: AWS (S3, EMR, Glue, Redshift, Lambda, Kinesis, SageMaker), Azure
- Big Data & ETL: Spark (PySpark, SparkSQL, Streaming), Hadoop, Hive, Kafka, NiFi, Flume
- Databases: PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Snowflake, Teradata
- Programming: Python, Scala, Java, SQL, Shell, C/C, Perl
- Visualization: Tableau, QuickSight, Power BI, Kibana, SSRS
- ML & AI: Regression, Classification, NLP, Clustering, Random Forest
- Tools: Airflow, Git/GitHub, Django REST, Hortonworks, Alteryx
- Security & Governance: IAM, VPC, Kerberos, Data Catalog, PCI DSS, GDPR
- CloudFormation templates
- Data modeling techniques
- Python programming
- Infrastructure as Code
Key Achievements
- Saved $500K+ annually by automating EC2 lifecycle policies, AMI cleanup, and S3 tiering.
- Migrated 50TB of on-prem data to AWS S3/Redshift, reducing query latency by 40%.
- Built real-time fraud detection pipeline (Spark + Kinesis) processing 2M+ events/day.
- Delivered C-suite dashboards in Tableau & QuickSight, saving 15+ hours/week in reporting.
- Implemented multi-region DR strategy with automated failover, achieving 99.99% uptime.
Timeline
AWS Data Engineer
Various Clients
07.2024 - Current
AWS Data Engineer
American Express
12.2023 - 06.2024
Data Analyst
Tata Consultancy Services
06.2018 - 09.2022
Bachelor's - Information Technology
Osmania University
Master's - Computer Information Science
Concordia University
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