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You will get get Data Engineering: API & Third-Party Data Integration

Iftikhar H.Status: Offline
Iftikhar H. Iftikhar H.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Iftikhar, priced and ready to go.
Iftikhar H.Status: Offline
Iftikhar H. Iftikhar H.
Preview image

Let a pro handle the details

Buy Data Mining & Web Scraping services from Iftikhar, priced and ready to go.

Project details

Need a robust, production-ready API integration and third-party data ingestion system? You've found the right Data Engineer.
As an experienced Data Engineer and ETL pipeline consultant, I build scalable API integration and third-party data ingestion systems that deliver clean, structured, and trusted data directly into your data warehouse enabling faster decisions and smarter analytics.

API & Third-Party Integration: Connect REST APIs, SaaS platforms, webhooks and internal systems into one unified data pipeline
ETL/ELT Pipeline Development: Build automated Python and Airflow pipelines for data extraction, transformation and loading
Cloud Data Warehouse Optimization: Production-ready solutions for Snowflake, Databricks, BigQuery and AWS Redshift
Data Modeling & Database Design: Clean, scalable data models using Star Schema optimized for analytics
Monitoring & Validation: End-to-end data validation, logging and alerting ensuring data accuracy and consistency
BI & Reporting Integration: Connect pipelines directly to Power BI or Tableau for actionable analytics and transparent reporting
Data Tool
Python
What's included
Service Tiers Starter
$290
Standard
$600
Advanced
$1,500
Delivery Time 3 days 7 days 14 days
Number of Pages Mined/Scraped
30100200
Number of Sources Mined/Scraped
135
Number of Revisions
12Unlimited
Iftikhar H.Status: Offline

About Iftikhar

Iftikhar H.Status: Offline
Data Engineer | ETL/ELT, Kafka, Databricks, Snowflake | AWS, Azure
Lahore, Pakistan - 3:54 pm 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, 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 client APIs, data sources, target warehouse and project scope

API audit & connectivity

Validate API credentials, endpoints, authentication and data structure

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