You will get an end to end real time and batch processing ETL pipeline on AWS
Project details
I will help you design and deliver a production grade, end to end ETL/ELT pipeline on AWS handling both real time streaming and batch processing clean, reliable, and built to scale.
With 10+ years of Data Engineering experience, I have built data infrastructure for clients in finance, retail, telecom, and tech across AWS, GCP, and Azure.
What is included:
• Data ingestion from APIs, databases, or streaming sources
• Batch processing with AWS Glue, Airflow, and Apache Spark
• Real time streaming with Kafka, Kinesis, and CDC via Debezium
• Transformation and modeling using dbt
• Storage on S3, Redshift, or Snowflake
• Data quality checks with Great Expectations
• Monitoring, alerting, and full documentation
Perfect for you if:
• You need a pipeline built from scratch on AWS
• Your existing pipeline is breaking or not scaling
• You need both batch and real time processing together
Every delivery includes clean code, dbt models, quality gates, and full architecture documentation so your team can maintain and extend it confidently after handover.
Message me before ordering so I can recommend the right package for your needs.
With 10+ years of Data Engineering experience, I have built data infrastructure for clients in finance, retail, telecom, and tech across AWS, GCP, and Azure.
What is included:
• Data ingestion from APIs, databases, or streaming sources
• Batch processing with AWS Glue, Airflow, and Apache Spark
• Real time streaming with Kafka, Kinesis, and CDC via Debezium
• Transformation and modeling using dbt
• Storage on S3, Redshift, or Snowflake
• Data quality checks with Great Expectations
• Monitoring, alerting, and full documentation
Perfect for you if:
• You need a pipeline built from scratch on AWS
• Your existing pipeline is breaking or not scaling
• You need both batch and real time processing together
Every delivery includes clean code, dbt models, quality gates, and full architecture documentation so your team can maintain and extend it confidently after handover.
Message me before ordering so I can recommend the right package for your needs.
Database Type
PostgreSQL, MongoDB, TeradataWhat's included
| Service Tiers |
Starter
$150
|
Standard
$200
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 1 | 2 | 2 |
Number of Tables Added | 5 | 15 | 30 |
Schema Diagram | - | ||
Permissions Setup | - | ||
Import/Export Data | |||
Admin Panel Setup | - | - |
About Nofel
Senior Cloud Data Engineer | Snowflake, dbt, Databricks | AWS / Azure
Lahore, Pakistan - 3:48 pm local time
I build production grade data solutions for clients across finance, retail, telecom, and tech supporting both startups and large enterprises. My work spans greenfield data platform builds, legacy ETL modernization, cloud migrations, and real time streaming architectures ensuring every pipeline is reliable, observable, and built to scale.
𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭:
✅ Faster Dashboards & Queries: High-performance data modeling in Snowflake, BigQuery, Redshift, and Databricks.
✅ Zero Pipeline Downtime: Resilient ELT workflows and automated orchestration using dbt, Apache Airflow, and AWS Glue / ADF.
✅ Lower Cloud Spend: Proactive warehouse rightsizing, query optimization, and cost-efficient storage tiers.
✅ Real-Time Data Access: Low-latency streaming architectures powered by Apache Kafka, Flink, and AWS Kinesis.
✅ Trusted Data Quality: Automated testing, schema drift alerts, and observability via Great Expectations and Soda.
✅ Future-Proof Scalability: Open Lakehouse architectures using Apache Iceberg, Delta Lake, and distributed Spark processing.
𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤:
I follow proven data engineering principles to ensure:
✅ Outcome-Driven Architecture: Every pipeline is built directly around your reporting and machine learning requirements.
✅ Observability by Default: Proactive data monitoring to catch errors before they reach your stakeholders.
✅ Maintainable & Clean Code: Modular dbt models, version-controlled pipelines, and clear documentation your team can run independently.
Facing a broken pipeline, stalled migration, or need a reliable data platform? Message me with your current setup and goals, and I’ll suggest the right approach.
Steps for completing your project
After purchasing the project, send requirements so Nofel can start the project.
Delivery time starts when Nofel receives requirements from you.
Nofel works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Gathering
Review client requirements, data sources, target destination, and pipeline scope to finalize the delivery plan.
Architecture Design
Design the end to end pipeline architecture including ingestion, transformation, storage, and streaming layers.