Hire the best Apache Spark Engineers in Plano, TX

Check out Apache Spark Engineers in Plano, TX with the skills you need for your next job.
  • $90 hourly
    I am an experienced Lead Data/Security/Infrastructure Architect with a proven track record of empowering high business impact global customers with extensive expertise in Microsoft Azure DF, Data Lake, Synapse, Big Data, Advanced Analytics, Artificial Intelligence & IoT in Azure and AWS. With a strong focus on achieving both cost and quality targets, I have overall accountability and responsibility for migrating applications to the cloud, managing the overall program scope, and maintaining its continuous alignment with strategic business objectives. Key Highlights: Proven expertise in designing and architecting scalable data processing and analytics solutions, including technical feasibility, integration, development for Big Data storage, processing and consumption of Azure data, analytics, big data (Hadoop, Spark), business intelligence (Reporting Services, Power BI), NoSQL, HDInsight, Stream Analytics, Data Factory, Databricks, Delta lake, Event Hubs, and Notification Hubs. Extensive experience in Relational Data Modeling, Dimensional Data Modeling, Logical/Physical Design, ER Diagrams, Forward and Reverse Engineering, Publishing Erwin diagrams, analyzing data sources and creating interface documents. Skilled in data model reviews with internal data architect, business analysts, and business users to ensure that the data model aligns with business requirements. Proficient in data profiling activities for new sources before creating new subject areas in the warehouse. Hands-on experience in data governance, including metadata management, master data management, data quality, and data security. Proficient in implementing Cloud Solutions using various AWS Services, including EC2, VPC, S3, Glue, Athena, AWS Kinesis, Lambda, secret manager, system manager, Cloud Formation, Elastic Beanstalk, RDS, Data Pipeline, DynamoDB, Redshift, etc. Expertise in architecting and securing the Infrastructure on AWS using IAM, KMS, Cognito, API Gateway, Cloud Trail, Cloud Watch, Config, Trusted Advisor, Security Groups, NACL, etc. Skilled in designing and configuring Azure Virtual Networks (VNets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies, and routing. Proficient in deploying Azure IaaS virtual machines (VMs) and Cloud services (PaaS role instances) into secure VNets and subnets. Skilled in exposing Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer. Overall, I am a detail-oriented and highly organized professional with a passion for delivering high-quality solutions that meet and exceed business requirements. My ability to resolve conflicts and maintain a continuous alignment with strategic business objectives has proven to be highly effective in reaching business results and strategic goals.
    Featured Skill Apache Spark
    Snowflake
    AWS CloudFormation
    AWS Glue
    AWS Lambda
    Microsoft SQL Server
    API Integration
    Terraform
    Data Modeling
    Microsoft Azure SQL Database
    Azure DevOps
    Databricks Platform
    DevOps Engineering
    Python
    Microsoft Azure
  • $5 hourly
    I am a results-driven Data Engineer with expertise in designing, building, and optimizing scalable data pipelines and ETL workflows. I specialize in handling structured & unstructured data, ensuring seamless integration, transformation, and storage for analytics and business intelligence. 🔹 Key Skills & Expertise: ✔ ETL & Data Pipelines – Developing automated workflows using Apache Airflow, dbt, and SQL ✔ Database Management – Optimizing relational (PostgreSQL, MySQL) & NoSQL (MongoDB, DynamoDB) databases ✔ Big Data Processing – Working with Apache Spark, Hadoop for large-scale data processing ✔ Cloud Technologies – Deploying data solutions on AWS (Glue, Redshift, S3), GCP (BigQuery), and Azure ✔ Data Automation & Scripting – Using Python & SQL to streamline data operations ✔ Data Warehousing – Designing scalable architectures for high-performance querying 🏆 Key Achievements: ✅ Built an automated ETL pipeline that reduced data processing time by 40% ✅ Optimized SQL queries and indexing, improving database performance by 60% ✅ Migrated on-premise data infrastructure to AWS Glue & Redshift, cutting costs by 30% ✅ Developed real-time data streaming solutions with Kafka for processing live events I am passionate about data and committed to delivering high-quality, efficient, and scalable data solutions. Let’s connect to discuss how I can help optimize your data infrastructure and improve business insights!
    Featured Skill Apache Spark
    Data Warehousing
    Big Data
    ETL Pipeline
    Python
    SQL
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