Hello! I am Rana Hamza Intisar. I am a Senior Data Engineer, Data Scientist and a Photographer. I am a curious engineer behind a computer, bridging the entire data engineering stack with the data science world. When I am not a digital guy, I am a movie lover with great passion for photography and discovering new cultures.
April 2024 – Present
(A company of LexisNexis)
Berlin, Germany
- Modernized a mission-critical legacy system by migrating C# based batch jobs to Databricks with PySpark, improving maintainability and reducing processing time by ~50%
- Designed and optimized high-throughput, scalable ETL pipelines handling 3–5× growth in data volume, ensuring end-to-end reliability and low-latency delivery
- Accelerated delivery by introducing Agile workflow optimizations, improving sprint predictability and throughput by ~20%
- Supported team scaling — hiring, onboarding, and mentoring data engineers and data scientists, raising overall delivery quality and standards within the team
- Tools and Technologies: PySpark, Databricks, PostgreSql, Airflow, Dremio, Jenkins, Delta Lake, Azure, Docker, Kubernetes, Java, Python
January 2022 – May 2024
(A company of LexisNexis)
Berlin, Germany
- Created NLP-based semantic similarity models (Gensim) improving text-analysis accuracy and information-retrieval relevance by >25%
- Tools and Technologies: Spark, Airflow, SQL,Jenkins, Delta Lake, Azure, Kubernetes, Python
May 2021 – April 2024
(A company of LexisNexis)
Berlin, Germany
- Developed and maintained Spark-based streaming and batch pipelines powering live platform features, improving data freshness from daily to near real-time
- Built and productionized Kubernetes-orchestrated Spark workflows with Apache Airflow, cutting operational interventions by 40% through automation
- Profiling and resource tuning improved Spark cluster usage efficiency, reducing cost per run by 30% and eliminating key performance bottlenecks
- Designed and maintained Delta Lake pipelines on Azure Data Lake, improving governance, lineage tracking, and downstream developer autonomy
- Accelerated delivery by introducing Agile workflow optimizations, improving sprint predictability and throughput by ~20%
- Supported team scaling — hiring, onboarding, and mentoring data engineers and data scientists, raising overall delivery quality and standards within the team
- Tools and Technologies: Spark, PostgreSql, Airflow, Dremio, Jenkins, Delta Lake, Azure, Docker, Kubernetes, Java, Python
February 2021 – April 2021
Islamabad, Pakistan
- Developed and productionized generative AI models to optimize customer–agent pairing in call centers, improving first-call resolution by ~15% and reducing average handling time by 10–20% through smarter skill-based routing
- Designed and built real-time ML deployment pipelines enabling seamless model updates, low- latency inference, and automated monitoring, significantly improving model uptime and operational reliability
- Technologies and Tool: R, Python, STAN
February 2020 – June 2020
(A company of Allianz)
Hannover, Germany
- Engineered scalable real-time data ingestion and transformation pipelines using Java Spring Boot and Python, reducing processing latency and improving data delivery reliability across multiple cloud environments (AWS & Azure)
- Converted real-time data into time series and stored in time series database (InfluxDB)
- Applied unsupervised anomaly detection models on live data streams, generating hourly and daily performance metrics that improved early-issue detection and system visibility
- Developed monitoring dashboards and analytics visualizations in Metabase and Grafana, enabling real-time decision-making for product stakeholders
- Technologies and Tool: Spring Boot, Scikit-Learn, Graffana, Docker, Kubernetes, Kafka, AWS, InfluxDB, Jenkins, Bash, Python
July 2019 – June 2020
(A company of Allianz)
Hannover, Germany
- Built microservices consuming the OpenSky Network live API, converting aviation telemetry into time-series datasets stored in InfluxDB, enabling continuous operational analytics
- Designed and deployed containerized applications with Docker and Kubernetes, improving deployment repeatability and streamlining CI/CD workflows
- Developed monitoring dashboards and analytics visualizations in Metabase and Grafana, enabling real-time decision-making for product stakeholders
- Actively contributed to Agile ceremonies and cross-functional delivery, driving feature releases and platform scalability improvements for the Granary product
- Technologies and Tools: Spring Boot, Metabase, Graffana, Prometheus, Kafka, PostGreSQL, Docker, Kubernetes, Jenkins, AWS, Azure, Bash, Java, Python
March 2019 – May 2019
Bremen, Germany
- Built and deployed a personalized product recommendation engine using TensorFlow and Google Cloud Analytics, driving +18–25% uplift in click-through-rates and increasing cross-sell conversions through predictive customer preference modeling
- Analyzed dormant customer behavior and developed targeted promotion strategies based on historical purchase patterns, contributing to reactivation of churned users and boosting repeat-purchase rates
- Independently delivered data-driven insights through clear, narrative-focused presentations, shaping marketing campaign decisions and improving stakeholder alignment on customer engagement strategies
- Technologies and Tools: TensorFlow, Google Cloud Analytics Platform, Tableau, Python
August 2017 – August 2018
Islamabad, Pakistan
- Built and optimized large-scale Data Lake architectures for Tier-1 telecom operators (Jazz, Banglalink, Djezzy), integrating distributed technologies including Hive, Spark, Ignite, Cassandra, Kafka, NiFi, and Tez to enable high-throughput ingestion and analytics
- Engineered Source-to-Target data mappings to ensure accurate business rule implementation and seamless downstream consumption across enterprise systems
- Led requirements discovery sessions with client stakeholders, translating business objectives into scalable technical designs and ensuring delivery alignment
- Automated job scheduling, testing, and operational monitoring, improving pipeline reliability and reducing execution failures
- Enhanced data integration workflows by developing robust ETL components in Teradata UDI Studio, reducing manual processing overhead
- Supported full release lifecycle including UAT, validation, and controlled deployments, ensuring smooth production rollout and better feature adoption
- Technologies and Tools: Teradata, Hadoop, Spark, Hive, Ignite, Cassandra, Kafka, Nifi, Tez, Bash, Java, Docker
June 2016 – August 2016
Islamabad, Pakistan
- Increasing the security of the cluster with Ranger
- Handling large data sets and transformations with Presto
- Data Visualizations with Tableau
- SQL Development
July 2015 – August 2015
Lahore, Pakistan
- Android app development on number plates of vehicles to track the unregistered vehicles
- User acceptance testing
June 2015 – July 2015
Islamabad, Pakistan
- Computer networking for huawei servers in local telecommunication sector
- Maintaining server networks
2018 - 2020
Jacobs University, Bremen, Germany
Focusing on:
- Data Analytics
- Data Mining
- Machine Learning
- Statistical Modeling
- Big Databases and cloud services
- Databases
- Data Visualization and Image Processing
- Data Security
2013 - 2017
National University of Computer and Emerging Sciences, Islamabad, Pakistan
Focusing on:
- Data Structures
- Advanced Programming
- Database Systems
- Data Warehousing
- Artificial Intelligence
- Concurrent and Distributed systems
2011 - 2013
Cambridge International Examinations
Beaconhouse School System Margalla Campus, Islamabad, Pakistan
Focusing on:
- Mathematics
- Physics
- Chemistry
2009 - 2011
Cambridge International Examinations
The City School, Bahawalpur, Pakistan
Focusing on:
- Mathematics
- Physics
- Chemistry
- Biology
Managing Director Americas LexisNexis IP, Founder of IPlytics
I am delighted to recommend Hamza, who is an invaluable part of our team for the past 3.5 years. Hamza has consistently demonstrated exceptional technical skills and a profound understanding of processing patents and standards data. His growing expertise in this area has significantly contributed to our projects, ensuring high-quality data processing and analysis. What truly sets Hamza apart is his outstanding communication skills. He effectively collaborates with team members, clearly articulates complex technical concepts, and has a knack for making data accessible and understandable to non-technical stakeholders. In addition to his technical and communication prowess, Hamza has been an excellent mentor to junior team members. His guidance and support helps them grow and develop their own skills, fostering a collaborative and learning-focused environment. Working in a small, flat-hierarchy startup, Hamza has seamlessly taken on additional responsibilities, demonstrating leadership and initiative. He has proven to be a reliable and proactive team player, always willing to step up and take ownership of tasks to ensure project success.
CTO & Co-Founder at Supy
During my tenure at IPlytics GmbH, we hired Hamza to scale our Data Engineering/Science team. He consistently gave 100 percent effort to the team and played a significant role in ensuring that we completed assignments within aggressive timelines.
He learned the new tech stack & the complex business logic super fast and immediately impacted our data's deliverables and quality. Hamza has what it takes to create an impact and build great cultures in any team he joins.
CTO Syncier GmbH
Hamza worked in my team and I supervised his Master's Thesis project. He did an excellent job in helping us progressing on our event-driven data platform with setting up a Demo Case and piloting Anomaly Detection capabilities. He’s a versatile software developer and always found solutions for the problem at hand. Striking the right balance of when to reach out for support made him very much a self-starter.
Senior Solution Architect at Syncier
I supervised and reviewed Hamza Master Thesis work at Syncier Analytics. He demonstrated a strong initiative, rapid problem solving skills and a very open demeanor towards new ideas and learning new things. Hamza is a great a addition to any team/company.
Team Lead at Syncier GmbH
Hamza worked with our event-driven data platform and built a demo application based on opensky aviation data which is still in use to demonstrate our platforms capabilities. He was able to quickly find his way around a complex environment which was still under construction. It is nice to work with him and he asks the right questions to solve problems.
Enterprise Data Architect at ZainTech
I have worked with Hamza on Veon DMP implementation project and I found him to be an excellent resource. He was starting his career when we worked together but he quickly made himself an integral part of our team . His ability to learn different technologies makes him a unique talent. During tough project schedules he keeps himself composed and propagates calmness among his team mates. Hamza can be a real asset to any organization.
Head of Data Engineering at Systems Limited
I have worked as a team lead with Hamza on the DMP Veon project for JAZZ directly supervising him. I have found Hamza to be a very hardworking and eager to learn new technologies person. He has a good habit of always being ready for a new challenge. He has a strong grasp with in depth knowledge and hands on experience over Big Data technologies. He is an effective resource who manages challenging deadlines of the project within the given time limit. He also has good communication skills which helped him in the meetings with the customer. I highly recommend him as a valuable asset whom you can assign challenging work and he will never let you down.
Consulting Director at TenX
I have worked with Hamza on Veon DMP implementation project and found out that he is an excellent resource. He was an integral part of our team . He learns different technologies quickly. He is a good team player and has a great can do attitude. Hamza is a real asset for our company.
Address
Berlin, Germany
Phone
+49-1514-3622712
ranahamzaintisar@gmail.com