You will get Data engineer | ETL | Data integration | Database Architecture and design

Let a pro handle the details

Buy Database Optimization & Design services from Iftikhar, priced and ready to go.

Let a pro handle the details

Buy Database Optimization & Design services from Iftikhar, priced and ready to go.

Project details

Need a production-ready ETL pipeline, data integration system or database architecture built from scratch? You've found the right Data Engineer. As an experienced Data Engineer and ETL pipeline consultant with 11 years of experience, I design and deliver scalable data integration solutions, high-performance database architectures, and automated ETL/ELT pipelines that power enterprise-grade analytics including projects for global organizations like GSK.

ETL/ELT Pipeline Development: Scalable batch and streaming pipelines using Apache Kafka, Apache Airflow, Apache Spark and Python
Data Integration: REST APIs, SaaS platforms and internal systems into one reliable data pipeline
Database Architecture & Design: High-performance data modeling using Star Schema and Snowflake Schema across Redshift, Snowflake, PostgreSQL, MySQL and BigQuery
Cloud Data Warehouse: Production-ready Snowflake, AWS Redshift, Google BigQuery and Azure warehouse solutions
Data Lakehouse Architecture: Build scalable Delta Lake and Databricks solutions for real-time analytics
DataOps & Monitoring: End-to-end data validation, lineage tracking, logging and CI/CD automation using Docker, Kubernetes and GitHub Actions
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDB, Azure Cosmos DB
What's included
Service Tiers Starter
$80
Standard
$250
Advanced
$500
Delivery Time 2 days 6 days 10 days
Number of Revisions
12Unlimited
Number of Tables Added
21020
Schema Diagram
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Permissions Setup
Import/Export Data
-
Admin Panel Setup
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Iftikhar H.Status: Offline

About Iftikhar

Iftikhar H.Status: Offline
Data Engineer | ETL/ELT, Kafka, Databricks, Snowflake | AWS, Azure
Lahore, Pakistan - 11:46 am local time
Businesses lose millions to slow, broken, or unscalable data pipelines. I fix that. I'm a Principal Data Engineer and freelance data pipeline consultant with 11 years of experience building production-grade data pipelines that handle millions of events reliably from ingestion to analytics, using Apache Kafka, Airflow, Databricks and cloud platforms. With expertise in designing scalable ETL/ELT pipelines, building cloud data platforms, and optimizing high-performance data warehouses including enterprise projects for GSK, I specialize in Apache NiFi, Apache Spark, Snowflake, Python, Power BI, DBA, SQL Server, dbt, AWS, GCP and Azure. I deliver production-grade solutions enabling real-time data processing, Azure Data Factory, data lakehouse architecture, business intelligence and machine learning.

🔹 What I Can Do for You:

Database Architecture & Optimization → Design and tune high-performance data models, cutting query time from hours to minutes.

Design and build scalable data pipelines (batch + streaming) using Python, SQL, Apache Kafka, Apache Spark, Airflow, and cloud platforms (AWS, GCP, Azure).

Develop data lakes, data warehouses, and lakehouse architectures that support high-performance analytics and real-time reporting.

Implement data validation, monitoring, lineage tracking, and CI/CD automation to ensure reliability and maintainability.

Optimize data workflows for cost, performance, and scalability while adhering to best practices in architecture and design.

Collaborate closely with analytics and ML teams to deliver feature-ready datasets for business intelligence and machine learning workflows.

🔹 Tech Stack:

Programming & Tools: Python (Pandas, Flask, Django, FastAPI, REST APIs), SQL, Bash Scripting, Spark
Cloud Platforms: AWS (S3, Redshift, RDS, Lambda, EMR, Athena), GCP (BigQuery, GKE, Cloud Storage), Azure
Data Engineering: Apache Kafka, Apache NiFi, Apache Airflow, Databricks, Delta Lake, Hive, ELK Stack (Elasticsearch, Logstash, Kibana), FluentD, Informatica (PowerCenter)
DevOps & CI/CD: Docker, Kubernetes, Linux, AWS CloudFormation, Git, GitHub Actions, GitLab CI/CD
BI & Visualization: Power BI, Kibana, Amazon QuickSight
Others: Data Warehousing, ETL / ELT Pipelines, Real-Time Streaming, Data Integration, Data Pipelines, Microservices Architecture, Star & Snowflake Schema, Data Validation, Monitoring & Lineage, Logging & Alerting Pipelines

🔹 Why Clients Hire Me

Enterprise-grade experience (GSK)

Clear communication & documentation

Ownership mindset, I treat your data as critical infrastructure

Focus on business outcomes, not just tools.

📩 If you need a Data Engineer who can own your data workflows end-to-end, let’s talk.

Steps for completing your project

After purchasing the project, send requirements so Iftikhar can start the project.

Delivery time starts when Iftikhar receives requirements from you.

Iftikhar works on your project following the steps below.

Revisions may occur after the delivery date.

Requirements review

Analyze data sources, target warehouse and pipeline scope

ETL pipeline development

Build Python and Airflow pipelines for extraction, transformation and loading

Review the work, release payment, and leave feedback to Iftikhar.