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Software consultant having worked as Engineering Manager and Lead Software Engineer in Javascript, Python and Elixir with over 12 years of experience demonstrating versatility and team leadership in diverse business domains from startups to big-tech. I run a software consulting and development firm where we take care of the entire product engineering lifecycle for you. With a background in structured, procedural and functional programming, implementing software architecture using principles such as Context Mapping, Domain Driven Design and C4 architecture to enhance system scalability and maintainability for enterprise application development, distributed systems, data processing & analytics, having steered multiple crossfunctional projects with autonomous teams of varying sizes to achieve OKRs, process optimisation and increased operational excellence. Experienced in data analytics, software development, using ETL tools such as fivetran, airflow, integromat. We are software engineers, product leads and consultants who have worked in a range of tech companies ranging from startups to bigtech like Klarna Bank, HCLTech, Google, L&T Infotech, Momox. We understand product development and have managed teams of different sizes with over 10 years of experience in various verticals such as Ecommerce, ERP, Fintech, FashionTech, Health & Wellness.
I am a Business Intelligence Consultant and Coach with over 20 years of experience in managing operations and implementing data-driven projects across multiple industries. My expertise spans Power BI, Tableau, Looker, business intelligence, project management, data analytics, and process optimization, ensuring organizations can leverage data for smarter decision-making. ➡️ CERTIFICATIONS: ♦ Microsoft Certified: Power BI Data Analyst ♦ Project Management Professional (PMP) ♦ Six Sigma Green Belt ♦ Scrum Master ♦ Scrum Product Owner ➡️ EXPERTISE IN: ♦ Power BI – Integrating, preparing, modeling, visualizing, analyzing, securing, and distributing data ♦ Business Intelligence – Data-driven insights, reporting, and automation ♦ Project Management – Waterfall & Agile methodologies ♦ Lean Six Sigma – Process optimization and efficiency improvements ♦ Data Mining – Extracting, transforming, and analyzing large datasets ♦ Dashboard Design – Creating interactive, real-time analytics solutions ➡️ TOOLS & TECHNOLOGIES: ♦ Power BI Desktop, Power BI Service, Power BI Report Server ♦ Microsoft Excel & Power Query ♦ SQL Server – Data connections & queries ♦ DAX for Big Data – Advanced calculations & analytics ♦ R Script & RStudio – Statistical analysis & predictive modeling ♦ RapidMiner – Machine learning & data mining ♦ Data Integration – Connecting, extracting, cleaning, and organizing data from various sources, including Google ♦ Automation – Streamlining workflows with Power BI dashboards and reporting solutions Power BI Portfolio & Blog 🔹 Power BI Samples: https://links.edds.com.pk/powerbi-samples 🔹 Power BI Blog Posts: https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/ 📌 Long-Term Engagement Terms: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG
Hey there! I'm Owais Jamil and I’m a software engineer with roots in New England and Austin, TX. Right now I’m enrolled as a master’s candidate at the University of Texas, most recently worked as a senior backend engineer at Edlink. I have experience working on mobile and web apps, and have tutored and taught others in the past.
I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.
Hello I have been working in the market for the past 10 years. in the field of Database, SQL, Oracle, SQL Server, MySQL, NOSQL,DWH,ETL ,reporting and BI tools. Have knowledge of multiples domain areas such as Finance & banking ,Telecom, health care, Tax & Legal and FMCG
I am an expert Data Engineer having 10 years of experience with exposure on in-house, hybrid & AWS, GCP cloud services. I hold **Data Architect Nanodegree from Udacity**. My Primary skills include - - Languages - Python, PHP, Ruby, Javascript, HTML, CSS - Packages - PySpark, Pandas, Numpy, Flask, Jquery, Bokeh - Tools - Spark, Hadoop, Hive, Mysql, Postgres, Airflow - File Formats - json, csv, txt, Parquet - GCP - Cloud functions, DataProc, Bigquery, GCS - AWS - Lambda functions, API Gateway, Athena, Cloudwatch, Glue, DataBrew, Kinesis, S3, Redshift, Redshift Spectrum, SNS, SQS I mostly worked on developing, maintaining, optimising ETL/Data pipelines, used variety of tools & process during pipeline execution. Apart from building pipelines i holds good hands on building custom scripts or solutions. I am a quick learner & having positive mindset which helps me to tackle a complex problem in easy way. During my experience i optimised numerous pipelines where improved time by ~70% & saved cost with magnitude of 10th part. If you are looking for any help in learning, solving complex data problem, you are at right place. I am happy to help here. Thanks.
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
Senior data engineer and BI specialist with 17+ years of experience building scalable data warehouses, reliable pipelines, and high-impact reporting solutions across advertising, retail, real estate, and supply chain. Brings strong business understanding across marketing and sales, finance, and logistics, with a strong track record of modernising legacy data environments and optimising large-scale workloads.
**Experienced Full Stack Developer Architecting Scalable Solutions** With over **20 years** of experience in software development, I have built and led innovative web applications across multiple industries, including **SaaS**, **e-commerce, real estate, telecommunications, and temporary accommodation rental**. My expertise spans **frontend and backend development**, software architecture, and leadership roles such as team lead, project manager, and founder. I specialize in **PHP, NodeJS, ReactJS, NextJS, VueJS, NuxtJS**, and database management with **MySQL, PostgreSQL, MongoDB, MariaDB, SQL Server, and Oracle**. I also have **deep expertise** in cloud computing (**AWS, Docker**) and system scalability. Holding a **college degree in System Analysis**, I thrive in **fast-paced environments**, solving complex technical challenges, optimizing performance, and mentoring teams to deliver high-impact solutions. Technologies summary: **AWS, Docker, Javascript, Typescript, NodeJS, ReactJS, NextJS, VueJS, NuxtJS, CSS, HTML5, PHP, Laravel, CodeIgniter, MongoDB, MariaDB, MySQL, SQL Server, PostgreSQL, Oracle**.
Senior data engineer specializing in financial data infrastructure, large-scale pipeline architecture, and cloud data systems on AWS/GCP/Snowflake. I build and fix data pipelines that handle real stakes — regulatory reporting, trading infrastructure, high-volume financial data — and I have a track record of measurable improvements: full data loads from 3 weeks to 6 hours, ingest times from 45 minutes to 3, query runtimes improved 500%. Recent work: 🏦 Lead data engineer at MSRB (US federal regulator, $4T municipal bond market): 30 ETL pipelines supporting $9B+ in daily trades, pricing data availability increased 800% across 2.7M securities 📦 Data infrastructure at Trafigura: serverless pipelines processing ~500GB of multi-domain financial, industrial, and geopolitical data 📑 Greenfield SEC filing pipeline: 20 years of filings across 4,000+ companies, structured for LLM querying ⚙️ DataPraxis: container-based ingestion platform (GCE/Docker/Kubernetes) reducing ingest time from 45 minutes to 3 🌍 Catalist: Productionizing machine learning models at 1,000,000x scale and implemented Cloudera colocation -> BigQuery transtion MS Applied Mathematics & Statistics, Johns Hopkins University.
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