AWS Data Engineering Support Needed

Hello, I have 10 years of experience in data engineering and cloud solutions. I am well-versed in Python and PySpark and extensively skilled in AWS services like Glue, Athena, and S3. I have significant experience in building and designing DAGs in Apache Airflow for workflow automation. I am confident in handling data transformation and ETL tasks to ensure efficient processing. I am eager to contribute to the smooth operation of your project with my expertise. Regards, VishnuLal NB

Experienced data engineer in AWS and Azure certified in pyspark and kubernetes can work as per requirements.

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. Please come over chat and discuss your requirement in a detailed way. Regards

Dear shubhamk5556, I am excited about the opportunity to collaborate on this project and am committed to ensuring your complete satisfaction with the final outcome. Our team consists of experienced professionals who specialize in Python, Hadoop, AWS Lambda, Cloud, PySpark, and we bring years of expertise to deliver high-quality results. Let's connect and discuss the project details further. Best regards

Hello, I can assist with your data engineering project by supporting data transformation and ETL tasks, including building and designing DAGs in Apache Airflow. With expertise in Python, PySpark, and AWS services like Glue, Athena, and S3, I can help ensure seamless workflow automation and efficient data processing to meet your project goals. Let’s collaborate to drive success in your project! Best regards, Ankit Keshari

As an AWS 4x Certified Cloud Solutions Architect and a veteran data engineer, I believe our partnership on your project is a match made in heaven. Having helped prestigious companies like TCS, Fico, AutoDesk, and VISA Inc. enhance their data engineering capabilities and workflow automation, I am well-versed with the AWS services essential for your project: Glue, Athena, and S3. Building Directed Acyclic Graphs (DAGs) in Apache Airflow is second nature to me as I am not only experienced at constructing these workflows but also excel in troubleshooting them when needed. My broad and deep understanding of Python and Pyspark means data transformation and ETL activities will be seamlessly executed from the get-go. I work independently with meticulousness to ensure that no detail is overlooked. To this effect, I have certifications that substantiate my skillset including AWS Certified Developer and AWS Certified SysOps Administrator. With a strict focus on efficiency, reliability, and scalability - combined with my general availability aligning with the ET timezone (6am-7pm), I'm here to revolutionize your data engineering journey on AWS!

Dear Client, I am an experienced data engineer with expertise in Python, PySpark, and AWS services such as Glue, Athena, and S3. I have a proven track record of designing and managing Directed Acyclic Graphs (DAGs) in Apache Airflow to automate workflows efficiently. Key highlights of my skills: Airflow Expertise: Designing and implementing complex DAGs for smooth workflow automation. ETL and Data Transformation: Extensive experience in creating optimized ETL pipelines using PySpark and AWS Glue. AWS Proficiency: Deep knowledge of S3 for storage, Athena for querying, and Glue for scalable data processing. Workflow Automation: Ensuring efficient and reliable data processing to meet your project goals. I am committed to delivering high-quality solutions and ensuring the smooth operation of your project. I look forward to contributing to its success. Best regards, Neeraj

We are thrilled to offer our expertise to support your data engineering project. With extensive experience in big data technologies, workflow automation, and AWS, our certified professionals are well-equipped to assist in optimizing your data transformation and ETL processes. Our Expertise" - AWS Certified Professionals: Deep expertise in Glue, Athena, S3, and other AWS services to streamline data processing and storage. - Big Data Technology Mastery: Successful implementation of large-scale projects utilizing Apache Airflow, Python, PySpark, and other advanced tools. - ETL and Workflow Automation: Proven proficiency in designing and executing complex Directed Acyclic Graphs (DAGs) to ensure efficient workflows. Services We Offer: 1. ETL Design & Implementation: Building robust ETL pipelines tailored to your specific data processing requirements. 2. Apache Airflow Workflows: Expertise in creating, deploying, and monitoring DAGs for seamless workflow automation. 3. Data Transformation: Leveraging PySpark and Python to process and transform large datasets efficiently. 4. AWS Integration: Ensuring optimal use of AWS services to manage, analyze, and store your data securely and cost-effectively. We’d be delighted to discuss how we can collaborate. Please contact us at.

I have 12 years of experience in such situations you need and software development leave me a message in private and let’s discuss ahead!

10 years professional experience with good exposure to aws services and airflow. Have worked on multiple projects using aws setvices like glue, lambda, athena, s3 along with airflow as schduler

I am excited to submit my proposal for assisting you with your data engineering project, particularly in data transformation, ETL, and workflow automation. With extensive experience in designing robust data pipelines, I am confident that my skills align perfectly with your project's requirements. Relevant Expertise: - Python and PySpark:Proficient in scalable data processing and transformations. - AWS Services:Experienced with Glue, Athena, S3, and other AWS components for efficient data solutions. - Apache Airflow:Skilled in designing and optimizing Directed Acyclic Graphs (DAGs) for reliable workflows. - ETL Processes:Strong foundation in building tailored pipelines with a focus on data quality and performance. Proposed Approach: 1. Assess the existing architecture and define clear deliverables. 2. Develop and optimize Airflow DAGs to streamline workflows. 3. Leverage PySpark and AWS for scalable data transformations. 4. Ensure seamless integration with a focus on performance and maintainability. Value I Bring: As an AWS Certified Solution Architect with expertise in E&U, Manufacturing, and Government domains, I bring technical expertise and a solution-driven mindset to ensure the smooth operation of your project. I am committed to delivering high-quality work and maintaining open communication. I would be delighted to discuss your project further. Please let me know a convenient time to connect. Looking forward to collaborating.

I am fresh mind developer who is willing to work robustly ,earger for efficiency, Regarding this scenario,I'm an Data analyst, engineer Graduate, where Having worked with data analysis, processings and I have worked with the migration project with foreign client "Taboola" for 6 month contract, I have experience in python for about 2 years and working experience in GCP,AWS for a year, I have gained the solid understanding of cloud services.

I can help with Python and AWS. We can discuss on details level requirement and accordingly we can estimate how much time will it take to complete this project.

Hi, I'm kavita Thorat I have 4 years of experience as an data engineer. I have hands on experience on AWS service, data bricks, SQL , python and pyspark. For more discussion you can ping me. Thank you

Hello there, I will assist you in building and optimizing your data transformation and ETL workflows using Apache Airflow. I will design ETL pipelines using Python and Pyspark to handle large-scale data and using Apache Airflow to automate the workflow processes, designing Directed Acyclic Graphs (DAGs) to ensure that data flows from source to destination, with proper scheduling and error handling. I will use AWS Glue for data cataloging, AWS Athena for querying large datasets, and S3 for data storage. Similar Projects Project - Deployed .Net application on AWS using CICD Description  Designed and implemented a CI/CD pipeline using AWS services (CodeCommit, CodeBuild ,CodePipeline) to automate the deployment of .NET application.  Managed CodeCommit, CodeBuild, and CodePipeline for source control and automation.  Orchestrated deployment to ECS using Fargate and ALB for scalability.  Configured IAM roles and S3 for artifacts storage and security.  Monitored application health with CloudWatch for optimization.  Collaborated with development teams for continuous improvement Technical Skills Python & Pyspark: Data Transformation, Scripting, ETL Processes Apache Airflow: DAGs, Workflow Automation, Scheduling, Monitoring AWS Services: AWS Glue, AWS Athena, S3, Data Storage, and Querying ETL Best Practices: Data Cleaning, Aggregation, and Transformation Let’s connect and discuss how we can ensure the smooth execution of your data engineering project! Regards, Navina

I am pleased to offer my expertise in working with AWS services, particularly S3 and Athena. I have completed the DEPI course in AWS Cloud Solutions Architect, which has equipped me with in-depth knowledge of AWS cloud technologies and best practices for data engineering and analytics. In addition, I have earned badges for the courses I have completed, which demonstrate my proficiency in AWS solutions. I have also worked on various projects hosted on the AWS platform, allowing me to apply theoretical knowledge to practical, real-world scenarios. I am confident that my skills and hands-on experience make me well-qualified to handle tasks involving AWS S3, Athena, and other related cloud services efficiently and effectively.

Having 7 years big data experience includes 3+ years on AWS EMR, S3, pyspark and Airflow DAGs. Worked on end to end script changes and involved CI/CD.

I am experienced AWS developer and know all of the technologies in your description. I can help you to make it done.

We are excited about the opportunity to assist you with data transformation and ETL tasks for your project. While new to this platform, Interwork Software has over 6 years of experience in data engineering and workflow automation using tools like Apache Airflow, AWS Glue, and Athena. Our team is highly proficient in Python and Pyspark, with extensive experience building and designing Directed Acyclic Graphs (DAGs) in Apache Airflow to ensure smooth workflow automation. We are confident that we can help optimize your data transformation processes, ensuring efficient and error-free data processing. Additionally, we have a strong understanding of AWS services, particularly Glue, Athena, and S3, which will help us seamlessly integrate with your existing infrastructure. We are committed to delivering high-quality results that will enhance the overall efficiency and performance of your data engineering project. Our expertise will ensure that your ETL processes are both scalable and reliable. P.S.: The current quotes are for bidding purposes only. We will share final fixed cost and timelines after our initial discussion based on the full scope of the project.