Real Time Data Engineer

Skills

ILAHI H

Principal Data Engineer

A seasoned Data Engineer with 9 years of extensive experience in designing, developing, and optimizing data infrastructures. My expertise lies in managing large datasets, building robust ETL pipelines, and delivering efficient data solutions that empower decision-making. My cross-industry experience has honed my ability to adapt to different business models and data challenges, ensuring that stakeholders have the data-driven insights they need. Programming Languages & Frameworks

SQL: Proficient in advanced techniques, including window functions and stored procedures.

Python: Well-versed in scripting, data handling, and ETL operations.

Java/Scala: Particularly experienced with Apache Kafka and Apache Spark.

Data Processing Systems

Apache Spark: Expertise in Core, SQL, and streaming features.

Apache Flink: Used for on-the-fly data processing. Hadoop Suite: Profound knowledge of MapReduce, Hive, HBase, among others.

Database & Storage Solutions

RDBMS: Examples include PostgreSQL, MySQL, and Oracle. NoSQL Platforms: Familiar with Cassandra, MongoDB, DynamoDB, and more.

Columnar Storage: Proficient with systems such as Parquet and ORC.

Time-Series Databases: Experience with InfluxDB and TimescaleDB.

Data Warehousing Technologies

Address Benton, United States 71006

Phone 315-***-****

E-mail *********@*****.***

Work History

Platforms: Well-acquainted with Amazon Redshift,

Snowflake, Google BigQuery, and Azure Synapse Analytics. Data Movement & ETL Instruments

Apache NiFi

Apache Kafka: Utilized for real-time data streaming and analytics.

Other Tools

Talend, Informatica, and Microsoft SSIS among others. Data Design & Architecture

DW Designs: Expertise in Star Schema and Snowflake Schema.

Data Techniques: Proficient in both normalization and denormalization methods.

Storage Systems

Knowledgeable in data lakes and lakehouse designs. Excellent

Cloud-Based Solutions

Excellent

AWS: Experienced with services like S3, EC2, EMR, Glue, and Lambda.

Excellent

Google Cloud: Proficient with BigQuery, Dataflow, and Pub/Sub.

Excellent

Azure: Familiar with Azure Data Factory, Blob Storage, and HDInsight.

Excellent

Infrastructure Automation Tools

Excellent

IAC: Skilled in using Terraform, CloudFormation, and Pulumi for infrastructure setup.

Excellent

2022-02 Data Engineer, Data Scientist

Currently working in NLP, Recommendation Engines, Computer Vision Collaborated with agronomists to design real-time data dashboards for precision agriculture, improving crop yield predictions by 25% Pioneered a cloud-based solution to streamline the collection and analysis of satellite imagery data, enhancing field monitoring accuracy

Developed automated ETL processes to consolidate various data streams including weather patterns, soil quality, and equipment metrics Implemented machine learning models to predict pest outbreaks, ensuring timely preventive measures

Spearheaded a cross-functional team that enhanced decision-making for resource allocation during different crop seasons

Led the development of an advanced predictive analytics model that forecasted travel demand

Architected an integrated data platform, consolidating data from 50+ global travel partners, resulting in improvement in user booking experience Implemented real-time analytics for customer feedback, leading to a 10% improvement in service satisfaction scores

Streamlined ETL pipelines to enhance data accuracy from various sources like airlines, hotels, and car rentals

Collaborated with marketing to use data insights in crafting personalized travel packages

Designed a robust data backup and recovery strategy ensuring 99.99% data availability Fortune 500 company (Undisclosed)

2019-10 - 2022-01 Sr.Data Platform Engineer

Innovated data solutions that provided a 360-degree view of the guest experience, leading to the launch of two successful guest service programs Played a pivotal role in the real-time analytics integration for the loyalty program Managed a team responsible for optimizing data flows between reservation, feedback, and operational modules

Partnered with F&B teams to utilize data in curating personalized dining experiences, resulting in a 20% increase in restaurant revenues Enhanced data security measures for guest personal information, achieving a significant reduction in data breaches

Successfully integrated chatbot analytics into the guest feedback system, optimizing responses and reducing manual intervention

Developed real-time dashboards for monitoring sales, inventory, and customer feedback, promoting data-driven decisions across departments Optimized the recommendation engine using machine learning, leading to a 20% increase in average cart value

Implemented robust data validation pipelines, ensuring high data quality for analytics purposes

Worked closely with supply chain teams to utilize data in improving vendor performance metrics.

2016-11 - 2019-09 Data Architect

Horizon Technologies

Architected a holistic data platform, integrating metrics from various wearable devices, enhancing athlete performance reviews

Collaborated with trainers to customize data-driven training regimens, resulting in improved athlete recovery times and performance benchmarks Pioneered an AI-driven feedback system for instant user insights during workouts, improving user engagement rates

Education

Additional Information

Managed real-time data streams from national and international sports events, ensuring timely analytics for coaches and teams

Enhanced data visualization interfaces, providing coaches with intuitive insights on player strategies and health metrics

Led a cross-functional team that launched a successful app providing users with personalized workout and nutrition plans based on data analytics Implemented cutting-edge encryption techniques, achieving high secure transactions rate for clients across banking and e-commerce sectors Architected solutions for real-time threat detection and mitigation reducing system breaches

Led the development of AI-driven predictive models to foresee potential cyber threats, ensuring proactive defense measures

Optimized data storage and retrieval processes to ensure swift incident responses during potential data breach scenarios.

Bachelors: Science

City University Jamaica

Developed real-time data processing solutions to support precision agriculture, enabling more informed crop decisions based on real-time data. Implemented data storage solutions that efficiently handle weather, soil, and satellite imagery data, optimizing the use of agricultural resources. Travel: Created predictive analytics models for fare forecasting and demand prediction, optimizing ticket pricing and enhancing profitability. Built data platforms that unified data from various travel partners, enhancing customer experience by providing a seamless travel booking experience. Hospitality: Architected data solutions that merged reservation, guest feedback, and operations data, leading to enhanced guest experiences and streamlined hotel operations. Supported loyalty program analytics by ensuring real-time data availability, driving guest retention, and personalized promotions. Ecommerce: Collaborated with product teams to optimize inventory management through data analytics, leading to reduced overstocks and stockouts. Implemented customer segmentation models, enabling targeted marketing campaigns and increasing overall sales conversions. Fitness and Sports: Developed data platforms to track and analyze athlete performance metrics, providing actionable insights to trainers and athletes alike. Built and maintained the infrastructure for wearable fitness device data, ensuring high availability and real-time processing for instant user feedback.

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