Fasih Khan
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Fasih Khan Email & Phone Number

Consultant Data analyst - > Data Engineer at Systems Limited
Location: Lahore District, Punjab, Pakistan 6 work roles 1 school
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Current company
Role
Consultant Data analyst - > Data Engineer
Location
Lahore District, Punjab, Pakistan
Company size

Who is Fasih Khan? Overview

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Quick answer

Fasih Khan is listed as Consultant Data analyst - > Data Engineer at Systems Limited, a company 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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Email format at Systems Limited

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Systems Limited

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Profile bio

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.

Current workplace

Fasih Khan's current company

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Systems Limited
Systems Limited
Consultant Data analyst - > Data Engineer
Lahore, PK
Website
Employees
7744
AeroLeads page
6 roles

Fasih Khan work experience

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Software Engineer/Data Engineer

Current
  • As 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
Feb 2022 - Present

Software Engineer

Islamabad, Islāmābād, Pakistan

  • 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.
Jul 2020 - Jan 2022

Software Engineer

Lahore, Pakistan

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)

Jul 2019 - Aug 2019
Team & coworkers

Colleagues at Systems Limited

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1 education record

Fasih Khan education

FAQ

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 Wafa Fatima, Naveed Shah, Ramlah Aniq, Moezz Rajput, and Arooosa Rana.

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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