Hallo!

I'm Monis Khan

I am a Data Engineer | Aspiring Data Scientist, Data Engineer with expertise in data modeling, cloud computing, and ETL pipelines. Skilled in Python, SQL, and big data frameworks to deliver scalable data-driven solutions.
Year of Experience
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Successful Project
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Data Engineer

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About Me

Get in touch with me

I am a data professional passionate about transforming raw datasets into actionable insights. With strong expertise in ETL pipelines, big data tools, and cloud-native platforms, I excel at building scalable, reliable data solutions. My work combines data engineering with advanced analytics, preparing me to transition into data science roles where I can leverage modeling and machine learning for decision-making.

Vision

To build intelligent, automated data platforms that empower businesses to make real-time, data-backed decisions.

Mission

To integrate engineering precision with analytical depth, ensuring efficient, compliant, and sustainable data ecosystems.

Data Migrated Without Downtime
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Automated ETL Processes
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Workflow Uptime Achieved
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Transactions Processed Monthly
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My Skills

Programming Languages

Proficient in Python, SQL, Java, and shell scripting for data parsing, analysis, and transformation.

Data Engineering Tools

Experienced in Informatica PowerCenter, SSIS, Talend, Git, CI/CD pipelines, and ETL automation.

Big Data & Cloud

Skilled in Hadoop, PySpark, Hive, Kafka, AWS (S3, Redshift, Lambda), and GCP BigQuery.

Pipeline Development

Specialized in end-to-end ETL/ELT pipeline design, deployment, monitoring, and recovery.

Project Platforms

Hands-on experience with Agile, Scrum, Jira boards, and version-controlled cloud-native platforms.

Data Analytics

Strong background in data modeling, performance tuning, and statistical validation for BI reporting.

Cognizant

Associate Developer

Mar 2019 – Dec 2019

Cognizant

Associate Developer

Mar 2019 – Dec 2019

My Experiences

Let's Work Together
Proven expertise in data engineering and analytics with a track record of delivering optimized pipelines, scalable cloud solutions, and reliable reporting frameworks.
Recent Projects

Financial Data Migration & Automation

Remote

Feb 2020 – Apr 2023

Migrated 4TB+ legacy datasets to Oracle with checksum validation, automated 200+ ETL workflows, and integrated Jenkins CI/CD pipelines, ensuring stability and reducing release cycles by 55%.

ETL Optimization for Enterprise Systems

Onsite

Mar 2019 – Dec 2019

Designed and optimized 15+ ETL pipelines, implemented real-time data transformations across 6 heterogeneous systems, reducing mismatches by 95% and cutting pipeline runtime by 43%.

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