You will get a Big Data Engineer for AWS or Goolge Cloud
Project details
Are you looking for a Big Data Engineer to build or optimize your cloud data infrastructure on AWS or Google Cloud?
You're in the right place! I specialize in designing and implementing scalable, secure, and high-performance data pipelines using tools like Python, SQL, Apache Spark, Hadoop, Kafka, and cloud-native services such as AWS Glue, Redshift, S3, Google Cloud Storage, Big Query, and Cloud Run Functions.
With hands-on experience in big data and cloud engineering, I help businesses unlock insights from massive datasets in real time. Whether it's ETL development, data lake setup, or cloud migration, I deliver results that drive growth.
Why choose me?
✅ Expert in AWS & Google Cloud
✅ Fast delivery & clear communication
✅ Custom solutions for your business needs
Let's take your data to the next level in the cloud!
Order now or send a message to get started!
You're in the right place! I specialize in designing and implementing scalable, secure, and high-performance data pipelines using tools like Python, SQL, Apache Spark, Hadoop, Kafka, and cloud-native services such as AWS Glue, Redshift, S3, Google Cloud Storage, Big Query, and Cloud Run Functions.
With hands-on experience in big data and cloud engineering, I help businesses unlock insights from massive datasets in real time. Whether it's ETL development, data lake setup, or cloud migration, I deliver results that drive growth.
Why choose me?
✅ Expert in AWS & Google Cloud
✅ Fast delivery & clear communication
✅ Custom solutions for your business needs
Let's take your data to the next level in the cloud!
Order now or send a message to get started!
Support & IT Services
Cloud ServicesDevice
Server/HostingOperating System
macOSCloud Platforms
Amazon Web Services, Google Cloud PlatformWhat's included
| Service Tiers |
Starter
$95
|
Standard
$295
|
Advanced
$595
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 12 days |
Number of Revisions | 2 | 4 | Unlimited |
Remote Connection Support | - | ||
Documentation | - |
Frequently asked questions
About Chisom
Data Engineer - I Help Teams & Businesses Build Efficient Data Systems
Lagos, Nigeria - 4:53 am local time
My focus is on clean, cost-optimized architecture, performance, and making data useful, not just moving it around.
I very well understand that everyone’s infrastructure needs are different, and I don’t believe in one-size-fits-all templates. I take the time to understand your specific requirements and build cloud solutions that match your business goals, not just your tech stack.
✅ 𝐓𝐡𝐚𝐭 𝐛𝐞𝐢𝐧𝐠 𝐬𝐚𝐢𝐝, 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐈 𝐡𝐞𝐥𝐩 𝐦𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡:
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↳ 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Scalable ETL/ELT workflows using Airflow, dbt, Python, SQL, and Cloud Composer
↳ 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS (Glue, S3, Lambda, Redshift) & GCP (BigQuery, Cloud Functions, Pub/Sub)
↳𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠 & 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠: Redshift, BigQuery, Snowflake, optimized for performance and analytics
↳𝐄𝐯𝐞𝐧𝐭-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬: Kinesis, Kafka, EventBridge, SQS/SNS, Pub/Sub for real-time data flow
↳𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Terraform, AWS CDK, GitHub Actions, CI/CD for reproducible deployments
↳ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠: Great Expectations, custom checks, logging, and alerting with CloudWatch/Stackdriver
↳ 𝐒𝐞𝐜𝐮𝐫𝐞, 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: IAM, VPC design, Secrets Manager, KMS, and cost-aware infrastructure choices
↳ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Power BI, Google Data Studio, Metabase, and Looker for business insights
✅ 𝐇𝐞𝐫𝐞’𝐬 𝐩𝐫𝐨𝐨𝐟 𝐈 𝐜𝐚𝐧 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐫𝐞𝐚𝐥-𝐰𝐨𝐫𝐥𝐝 𝐫𝐞𝐬𝐮𝐥𝐭𝐬:
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↳ I led a team of 10+ in building a traffic prediction platform from scratch, using time-series analysis and LGBM for modeling, Streamlit for deployment, and Power BI for visualization. Despite tight deadlines, we delivered a robust solution and came out on top, earning an 86.9% ranking and winning the competition.
↳ Need robust pipelines that scale? I’ve designed modular ETL workflows with Python, dbt, Airbyte, and Airflow, integrated with AWS S3 and Redshift to support scalable reporting.
↳ Want faster and reproducible deployments? I’ve built CI/CD pipelines using GitHub Actions and Terraform to automate infrastructure and data workflows, cutting manual deployment effort by over 70%.
↳ Concerned about cost and cloud waste? I optimize storage and compute usage on AWS by leveraging Glue job tuning, S3 lifecycle policies, and querying efficiencies in Athena, saving hours of processing time.
↳ Lacking observability in your data stack? I’ve integrated logging and monitoring with CloudWatch to track data pipeline failures, ensuring fast detection and recovery.
🏅 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧
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↳ Google Cloud Certified Professional Data Engineer
↳ AWS Certified Solutions Architect – Associate
↳ AWS Certified Cloud Practitioner
↳ DataCamp – Data Engineer in Python
I know hiring someone online can feel like a risk. That’s why I back every project with this promise: I’ll get it done right or I’ll keep working at 𝗻𝗼 𝗲𝘅𝘁𝗿𝗮 𝗰𝗼𝘀𝘁 until 𝘆𝗼𝘂’𝗿𝗲 𝟭𝟬𝟬% 𝘀𝗮𝘁𝗶𝘀𝗳𝗶𝗲𝗱.
👉 If you’re looking for someone who can build reliable, scalable data pipelines and make your data work for you, clean, organized, and ready for analysis, I’m here to help. I move fast, communicate clearly, and understand the business logic behind the data. Shoot me a message, and let’s see how I can support your team.
𝐀𝐧𝐝 𝐡𝐞𝐫𝐞’𝐬 𝐡𝐨𝐰 𝐢𝐭 𝐰𝐨𝐫𝐤𝐬:
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1️⃣ We’ll start with a quick chat about your project and goals.
2️⃣ We'll go on a call to discuss the project timeline and budget.
Steps for completing your project
After purchasing the project, send requirements so Chisom can start the project.
Delivery time starts when Chisom receives requirements from you.
Chisom works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering & Architecture Planning
I will work with you to understand your data sources, business goals, and infrastructure needs. Based on this, I’ll design a scalable cloud-native architecture tailored to AWS or Google Cloud.
ETL Pipeline Development & Integration
I’ll build robust ETL pipelines using tools like AWS Glue, Google Cloud Dataflow, or Cloud Composer. These pipelines will automate data ingestion, cleaning, and transformation from your sources to your data lake or warehouse.