Iftikhar H

@iftikharh22

Principal Data Engineer

Paquistão
Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
Principal Data Engineer with 9+ years of experience designing and optimizing scalable data platforms, data warehouses, and ETL/ELT pipelines. I help startups and enterprises turn raw data into reliable, actionable insights using modern cloud and big-data technologies. My expertise includes Python, SQL, Apache Kafka, Airflow, Spark, NiFi, Docker, Kubernetes, Snowflake, Databricks, Power BI, dbt, BigQuery, and AWS, Azure, GCP. I focus on building secure, high-performance, and cost-efficient data solutions that support real-time analytics, automation, and data-driven decision-making. ... Saiba mais

Habilidades

i
iftikharh22
Iftikhar H
offline • 
Tempo médio de resposta: 9 horas

Conheça meus serviços

Armazenagem de dados
I will build scalable data pipelines, etl workflows, and cloud data architecture
A partir deUS$ 80 /projetoMais detalhes
ETLs de dados
I will help you with informatica etl development, debugging, and support
A partir deUS$ 20 /projetoMais detalhes

Portfólio

Experiência profissional

GSK

Principal Data Engineer

GSK • Freelance

Oct 2022 - Present • 3 yrs 7 mos

• Led a team of 5 data engineers designing and maintaining enterprise-scale ETL/ELT pipelines using Databricks and cloud data infrastructure across AWS and Azure. • Engineered containerized, Docker- and Kubernetes-based data pipelines using Kafka, Python microservices, and REST APIs, reducing processing time by 40%. • Designed a scalable, high-performance data architecture supporting real-time analytics across 10+ business units, incorporating cloud data warehousing solutions such as Snowflake, Redshift, and BigQuery. • Built and optimized ELT pipelines leveraging dbt and Azure Data Factory to support scalable and maintainable data transformation workflows. • Optimized SQL and Bash scripting for automated data ingestion, transformation, and workflow orchestration. • Managed Git-based CI/CD pipelines for version control and automated deployment of data pipelines. • Standardized logging and audit frameworks for ETL processes, enabling faster troubleshooting and root-cause analysis. • Collaborated with architecture leadership to define governance, lineage, and access frameworks using Unity Catalog and schema registry. • Tech Stack / Tools: Apache Kafka, Airflow, Nifi, Python, SQL, Bash scripting, Docker, Kubernetes, Azure Cloud, REST APIs, Linux

Senior Data Engineer

BridgeLinx Technologies • Período integral

Mar 2022 - Sep 2022 • 6 mos

• Built a data warehouse from scratch in AWS Redshift and Python microservices, consolidating 10+ heterogeneous data sources. • Developed Python-based microservices for automated data ingestion and transformation, improving pipeline efficiency and reducing manual intervention. • Tech Stack / Tools: Python, AWS Redshift, AWS S3, REST APIs, Microservices Architecture, SQL, Docker, Git, Linux

Senior Data Engineer

TechnoGenics SMC PVT LTD • Período integral

Feb 2021 - Mar 2022 • 1 yr 1 mo

• Designed and maintained large-scale ETL pipelines and data warehouses, improving data processing speed by 30%. • Implemented Python, Kafka, Elasticsearch, FluentD, and GCP (GKE) solutions, supporting 5+ TB daily data ingestion. • Worked on Python, Kafka, Elasticsearch, FluentD, and GCP, with a particular focus on Google Kubernetes Engine (GKE). • Achieved a 30% improvement in data processing speed by designing and implementing a robust data warehouse and ETL pipelines that consolidated data from multiple sources. • Tech Stack / Tools: Python, Apache Kafka, Elasticsearch, FluentD, GCP (GKE, Cloud Storage), Docker, Kubernetes, SQL, Linux