Hello! I’am Madiha Khalid a Founder of Datavent that solves complex data related problems!
I am on a mission to empower startups by providing data-driven solutions that foster scalable growth and innovation. Specializing in designing and implementing data platform architecture using cost-effective open-source and managed tools, I help businesses transform data into actionable insights for sustainable success. Furthermore, I am certified AWS Data Engineer expert and Certified Mentor
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About
Experienced Data Platform Advisor and AWS Certified Data Engineer with over 10 years of expertise in designing and implementing Big Data solutions, data pipelines, and cloud architectures for startups and enterprises.
Specialize in developing scalable platforms using technologies like AWS, Databricks, Snowflake and Google BigQuery, while also mentoring aspiring engineers
I have a proven track record of leading data teams and advising on data-driven strategies, with a focus on optimizing infrastructure performance and cost.
I offer a wide range of amazing data services for your business.
Align your data initiatives with your business objectives through strategic planning and informed tool selection. We help craft comprehensive data strategies tailored to your specific needs, guiding you in choosing technologies that ensure your data infrastructure is scalable, efficient, and ready for future growth.
Design and implement unified data architectures using Lakehouse platforms on AWS and GCP. Specializing in technologies like Snowflake and Databricks, we combine the strengths of data lakes and data warehouses to create scalable, high-performance platforms that support analytics, real-time processing, and machine learning across your organization.
Develop custom PySpark native solutions to streamline data ingestion, transformation, and processing for AI SaaS applications. My tailored integrations optimize data workflows to support advanced analytics and machine learning models, enhancing the capabilities of your AI-driven services.
Design and execute your cloud strategy with best-in-class architecture and methodologies like DataOps. I facilitate the migration of your Existing data infrastructure, applications, and workloads to AWS or GCP, Redshift to Snowflake or Databricks, in a cost-effective manner, maximizing the benefits of cloud services while ensuring security, scalability, and optimal performance.
Build robust data pipelines and platforms to support your data-driven projects. We engineer real-time and batch processing systems with a focus on reliability, quality, governance, and monitoring. By combining cloud-managed services with cloud-native open-source technologies, we tailor solutions on AWS, GCP, or Azure to support complex analytics and machine learning applications.
Enhance your skills with personalized coaching and mentorship in data engineering and cloud technologies. We offer one-on-one and team sessions to help you stay ahead in the rapidly evolving data industry, whether you're looking to improve technical skills, adopt best practices, or navigate career development paths.
My Technical Skills
Skillset
Natutal Languages
Redshift to Snowflake Migration (Legacy Pipeline)
Migrate Legacy Data Pipeline almost 10 years old from Redshift dialect compatible to Snowflake
Automate the code migration script that make the SQLs with Jinja Template (DBT Like) compatible with Snowflake
Developed efficient script that automate the process of old pipeline to new pipeline without effecting the Dashboard downtime.
Developed and implement strategy to migrate data from Redshift unload AWS S3 to Snowflake.
Migrate inhouse data pipeline orchestration to Dasgter
Used Gen-AI LLM Model to developed the migration scripts that speed the process of migration.
Customer Data Platform Klaviyo & BigQuery
Challenge:
The client, using Klaviyo, Klar, and BigQuery, lacked advanced analytics capabilities, limiting their ability to gain deep insights from their customer data.
Solution:
Designed a custom customer data platform that integrated Klaviyo, Klar, and BigQuery with advanced analytics functionalities. This solution enabled the client to unlock deeper insights, improve decision-making, and enhance their overall data strategy
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Unified Ad Data Integration for AdTEch
Challenge:
The AdTech AI company needed to extract LinkedIn Ads metric data for over 1000 SaaS users at once. The obstacles were API timeouts, request limits, and the need to extract data for multiple clients simultaneously while ensuring the solution could scale effectively.
Solution:
Developed a custom data integration pipeline in PySpark that not only optimized data extraction to bypass API limitations but also parallelized the process. This allowed simultaneous data extraction for multiple clients, ensuring efficiency and scalability without exceeding request limits or encountering timeouts.
Data Pipeline for CRM Consultant
The CRM consultant needed an automated, scalable solution to process nearly 100K records daily for each customer. The system had to create isolated data pipelines for new clients, integrating Close.com, transforming data in BigQuery, and generating KPI reports in Looker Studio. Initially deployed on Airbyte via Restack.io, performance issues and the discontinuation of Restack.io required a migration.
Solution:
Migrated the data integration process from Airbyte to a custom solution using Mage.ai, deployed on Google Cloud Platform (GCP). The new system automated client-specific pipeline creation, reduced data processing time from 8 hours to 12 minutes, and leveraged Cloud Run to automatically scale as new jobs were added. This allowed efficient handling of 0.1 GB of data and 200K records daily, ensuring scalability from 1 to N of users, without worrying about infrastructure and performance.
In my work i draw on years of experience as a Data Engineer.
10+ Years of Experience and counting
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Principal Data Platform Advisor | Founder
Senior Data Engineer
Senior Data Engineer
Data Engineer
Big Data Solution Architect
Business Intelligence & Solution Architect
Executive Service Developer
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- Mentor For Aspiring Engineer at Topmate
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Contact
I'm always excited to discuss new data challenges and opportunities. Whether you're a startup looking to build your data strategy from the ground up, an established company aiming to optimize your existing data infrastructure, or an aspiring data professional seeking mentorship, I'm here to help.
