Fasih Khan Email & Phone Number
Who is Fasih Khan? Overview
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Fasih Khan is listed as Consultant Data analyst - > Data Engineer at Systems Limited, a with 7744 employees, based in Lahore District, Punjab, Pakistan. AeroLeads shows a matched LinkedIn profile for Fasih Khan.
Fasih Khan previously worked as Software Engineer/Data Engineer at Bitlogix (Private) Ltd and Software Engineer at Mcp Insight Ltd. Fasih Khan holds Bachelor'S Degree, Computer Science from National University Of Computer And Emerging Sciences.
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About Fasih Khan
Hi, I am a Software/Data Engineer with 4+ years of experience, who possesses a robust skill set for Building Backend Systems and managing and optimizing data infrastructure and Data engineering tasks with proficiency in Azure, Data bricks, Azure Data factory, On premises SSIS, SQL and Python .Here's a breakdown of the key skills and responsibilities associated with my profile:★Cloud Platforms:✅Azure: In-depth knowledge of Azure services like Azure Data Factory, Azure Blob Storage, Azure SQL Database, Azure Synapse Analytics, and other related services.★Data Processing and Transformation:✅Apache Spark: Proficiency in using Spark for distributed data processing.✅Data bricks: Hands-on experience with Data bricks for collaborative and scalable Apache Spark-based transformation and analytics.★Data Warehousing:✅Azure Synapse Analytics : Designing, implementing, and managing data warehouses for analytics and reporting.✅Snowflake : Designing, implementing, and managing data warehouses with proficiency in query writing for analytics and reporting.★Data Orchestration and ETL:✅Azure Data Factory: Building and managing data pipelines for ETL processes.✅Apache Airflow: Designing and orchestrating complex workflows for data processing.Data Modeling and Schema Design:✅Data Lake: Designing and managing data lakes for storing structured and unstructured data.★Database Management:✅Azure SQL Database: Managing and optimizing SQL databases in the Azure environment.✅Microsoft SQL/ PostgreSQL : Tuning queries and optimizing data storage in SQL/PostgreSQL.★Programming Languages:✅Python: Proficient in Python commonly used in data engineering tasks and Building Backend Systems (API's) with Django and FastAPI.✅SQL: Strong SQL skills for data querying and manipulation.★Data Visualization and Reporting: ✅Power BI: Proficient in Power BI to build stunning Dashboards.★Version Control and Collaboration:✅Git: Utilizing version control systems for managing code and collaboration.✅Collaboration Tools: Using tools like Jira, Confluence, or others for effective teamwork.
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Fasih Khan work experience
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Software Engineer/Data Engineer
CurrentAs A Data Engineer, My responsibilities includes:• Collaborated on ETL tasks based on the project, maintaining data integrity, and verifying pipeline stability.• Explained data results and discussed how best to use data to support project objectives.• Utilizing data visualization tools(Power BI) to effectively communicate business insights.• Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.• Performing Ad-hoc analysis using SQL• Implemented real-time data processing solutions for timely decision-making and improved customer experience.• Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.• Led end-to-end implementation of high-impact projects from requirements gathering through deployment and post-launch support stages.• Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.• Working with business owners to understand context within data sets.• Participating in drafting documents and presentations for communicating innovations, ideas, or discoveries• Tools used: Azure Data Bricks, SSIS(SQL server integration services), PostgreSQL, Microsoft SQL server and Power BI
Software Engineer
• Designed robust database architecture that supported seamless integration of new datasets and facilitated rapid analysis capabilities.• Designed scalable ETL pipelines for improved data ingestion, processing, and storage.• Building Data Based Product that helps to generate email alerts for peaks in the fradulent data so that clients can take quick decisions.• Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.• Analyze and visualize a massive data set on Elastic search, Power BI and Python as per client needs.• Increased operational efficiency by automating repetitive tasks using Python scripts, allowing focus on higher-priority projects.• Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.• Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.• Utilized SQL queries to developing multi-dimensional data cubes to automate the delivery of Financial and Operational KPIs in the Power Bi.• Finding Fraudulent Activities, Anomalies and bots in the Data and blocked this boosted yearly revenue by 35% for our customers.• Build accurate predictive models to help customers from ad frauds resulting in increase of 70% in revenue.• Detecting unexpected changes and actions on service landing and payment pages to help decide our customers whether to block a service or not.• Streamlined data warehousing architecture to support faster analytics and reporting capabilities.• Optimized data processing by implementing Hadoop and Spark frameworks for big data management.• Contributed significantly towards organizational cost savings by optimizing storage and data processing resources in the cloud environment.• Tools used: Visual Studio Code, Jupyter Notebook , Elastic Search and Power BI
Teacher Assistant For Data Mining
Software Engineer
I worked as a Software Engineer - Web Developer in Paksa It Solutions for almost 2 months as an intern and my responsibility was to create and manage the front-end with Html, CSS, Javascript, and back-end with PHP and Mysql of their E-commerce website (paksa.pk)
Teacher Assistant For Computer Programming
Colleagues at Systems Limited
Other employees you can reach at systemsltd.com. View company contacts for 7744 employees →
Hasan Khaleel
Colleague at Systems LimitedKarāchi, Sindh, Pakistan
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Anis Ur Rehman
Colleague at Systems LimitedLahore District, Punjab, Pakistan
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Imran Akhter
Colleague at Systems LimitedPakistan
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Khizra Amin
Colleague at Systems LimitedLahore, Punjab, Pakistan
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Uzma Zafar
Colleague at Systems LimitedLahore, Punjab, Pakistan
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Syeda Tabinda
Colleague at Systems LimitedIslāmābād, Pakistan
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Muhammad Owais Alam
Colleague at Systems LimitedKarāchi, Sindh, Pakistan
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Ali Haider Zaidi
Colleague at Systems LimitedKarachi Division, Sindh, Pakistan
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Muhammad Sufian
Colleague at Systems LimitedIslāmābād, Pakistan
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Muzammal Hussain
Colleague at Systems LimitedLahore District, Punjab, Pakistan
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Fasih Khan education
Frequently asked questions about Fasih Khan
Quick answers generated from the profile data available on this page.
What company does Fasih Khan work for?
Fasih Khan works for Systems Limited.
What is Fasih Khan's role at Systems Limited?
Fasih Khan is listed as Consultant Data analyst - > Data Engineer at Systems Limited.
Where is Fasih Khan based?
Fasih Khan is based in Lahore District, Punjab, Pakistan while working with Systems Limited.
What companies has Fasih Khan worked for?
Fasih Khan has worked for Systems Limited, Bitlogix (Private) Ltd, Mcp Insight Ltd, National University Of Computer And Emerging Sciences, and Paksa I.T Solutions (Pvt) Limited.
Who are Fasih Khan's colleagues at Systems Limited?
Fasih Khan's colleagues at Systems Limited include Hasan Khaleel, Anis Ur Rehman, Imran Akhter, Khizra Amin, and Uzma Zafar.
How can I contact Fasih Khan?
You can use AeroLeads to view verified contact signals for Fasih Khan at Systems Limited, including work email, phone, and LinkedIn data when available.
What schools did Fasih Khan attend?
Fasih Khan holds Bachelor'S Degree, Computer Science from National University Of Computer And Emerging Sciences.
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