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Expert Vetted on Upwork | Databricks Certified Professional Data Engineer & Spark Developer | AWS Solution Architect | Full Stack Developer | AWS | Spark | ETL | Azure
I’m a Sr. Data Engineer with 13+ years of experience designing, scaling, and optimizing cloud-native, distributed data platforms for enterprise organizations, including publicly traded companies. With deep expertise across Big Data Engineering, Distributed Systems, and Cloud Architecture, I build high-performance, fault-tolerant ecosystems that power mission-critical business operations. I architect end-to-end data platforms—from ingestion to governance—across data lakes, Delta/Lakehouse architectures, real-time streaming, ETL/ELT frameworks, and multi-cloud infrastructures. My focus is reliability, scalability, performance tuning, and cost optimization, ensuring every solution is production-ready and built for long-term growth. I work at the intersection of Spark internals, Databricks optimization, distributed compute, and cloud-first engineering. I also lead technical strategy, mentor teams, and bring structure and clarity to large-scale, complex environments. Core Competencies: 🔹 Data Architecture & Engineering Distributed systems, EDA, modeling, integration, lineage, batch/streaming pipelines 🔹 Databricks Ecosystem Delta Lake, DLT, Unity Catalog, Databricks SQL, cluster optimization, governance 🔹 AWS (Advanced) EMR, Glue, Redshift, Athena, S3, RDS, Kinesis (Streams + Firehose) 🔹 Big Data Frameworks Spark, Hadoop, MapReduce, Snowflake, Presto, dbt, Hive, HBase, Cassandra 🔹 Orchestration & Automation Airflow, Luigi, Jenkins, CI/CD, YAML-driven workflows, automation frameworks 🔹 Enterprise ETL Tools Informatica (DEI, DES, PowerExchange), Oracle Data Integrator, IBM Big Data stack 🔹 Cloud, Infra & Containers AWS, Azure, GCP, Docker, Kubernetes, Terraform (IaC) 🔹 Programming Python, Scala, Groovy, PHP Technical Focus Areas: ⚙️ Spark optimization & distributed compute ⚙️ Databricks architecture, governance & scaling ⚙
Government College University, Faisalabad
BS (Hons) Telecommunication Engineering, Telecommunications Engineering
January 1, 2008 – January 1, 2012
GETTR USA INC
Principal Data Engineer
October 1, 2022 – March 1, 2024
Remote
Systems Limited
Principal Consultant Data Analytics & Growth Lead
January 1, 2022 – June 1, 2022
Systems Limited
Senior Consultant Data Analytics & Growth Lead
April 1, 2021 – January 1, 2022
IBM
Big Data Consultant
April 1, 2019 – March 1, 2021
Lahore, Pakistan
Upwork
Principal Data Engineer
January 1, 2018 – Present
Remote
Arbisoft
Data Engineer/Senior Software Engineer
October 1, 2015 – March 1, 2019
Lahore pakistan
Nextbridge Pvt. Ltd
Software Engineer
January 1, 2015 – October 1, 2015
Lahore
PureLogics
Software Engineer
December 1, 2012 – December 1, 2014
Lahore
MacroPak Solutions Pvt Limited
Junior Web Developer
July 1, 2012 – December 1, 2012
Sahiwal
Edx Analytics Pipeline
January 1, 2017 – March 1, 2019
- Redesigned Hadoop MapReduce/Hive ETL pipeline to Spark/Hive and gained a 55% cost reduction on AWS. - Improved the performance of legacy pipeline through python workflow scheduler Luigi and reduced the cost of these workflows by 50-80%. - Migrated legacy monolithic development platform to Docker and cut down development setup time by 95%, increasing open-source community collaboration and involvement by 75%. - Revamped CI & CD with Travis and Docker, improved deployment efficiency by 60%. - Integrated pipeline alerts and failures with AWS CloudWatch and Opsgenie for continuous uptime monitoring and daily operations. - Worked on improvements in the data warehouse system and design. - Automated development of Jenkins workflows using Jenkins DSL & Groovy.
Databricks Certified Data Engineer Professional
Databricks
June 25, 2026 – Present
Databricks Certified Associate Developer for Apache Spark 3.0
Databricks
June 25, 2026 – Present
Oracle Data Integrator 12c Certified Implementation Specialist
Oracle
June 25, 2026 – Present
CCA Spark and Hadoop Developer
Cloudera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a long and diverse career path across various companies and roles, including freelance work, which suggests adaptability. The experience spans from traditional software engineering to specialized big data and analytics roles, indicating a willingness to evolve and learn. The project 'Edx Analytics Pipeline' shows initiative in open-source collaboration and community involvement, which aligns with a collaborative culture. However, the target role 'Analytics Engineer' might require a stronger emphasis on analytical modeling, reporting, and business intelligence tools beyond core data engineering, which is less explicitly detailed in the experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong focus on efficiency, cost reduction, and performance improvement, suggesting a results-oriented approach. Experience in leading redesigns and migrations indicates strong problem-solving and project management skills. The emphasis on automation and continuous monitoring points to a proactive operational mindset.