I'm a D

Hi, I'm Tariqul Ismail

Not Your Average Data Engineer

Results-driven Data Engineer with 15 years of experience designing, developing, and optimizing data pipelines, ETL workflows, and data warehouse architectures. Adept at working with big data technologies, cloud infrastructure, and distributed computing frameworks to deliver scalable solutions for finance, banking, and business intelligence. Skilled in Apache Spark, Airflow, Talend, SQL, Python, AWS, and Snowflake, with a strong record of accomplishment of automating data processes, reducing latency, and enhancing operational efficiency.

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Skills

My details skills that can help if you will hire me

ETL & Streaming Development: Skilled in ETL tools like Apache Airflow, Talend, DBT, Apache Spark, Apache Kafka, AWS Kinesis, Apache Flink for data extraction, transformation, and loading.

Data Modeling & Warehousing: Expertise in designing data models, data warehousing, and ETL processes.

SQL Proficiency: Advanced skills in SQL for querying, data manipulation, and performance tuning.

Data Visualization: Mastery in creating impactful dashboards and reports using tools like Power BI, Tableau, and Google looker studio.

Database Management: Experience in managing and optimizing databases (SQL Server, Oracle, MySQL, postgresql etc.).

Data Integration: Proficient in integrating data from various sources, including databases, APIs, and cloud services.

Performance Optimization: Expertise in optimizing BI solutions for performance, scalability, and reliability.

Top Skills

95%

SQL Server, PostgreSQL, Oracle, Snowflake, MongoDB, PERQUET, JSON, XML

 90%
85%

AWS (S3, Lambda, RDS, DynamoDB, SageMaker), GCP (BigQuery, Dataflow)

 80%

Python, Scala, Apache Spark

 75%

Portfolio

Data Engineer:

My data engineering journey began with a strong foundation in software development and database management, where I designed and optimized banking software using SQL Server, Oracle, and ASP.NET. Over the years, I transitioned into data engineering, building enterprise-level ETL pipelines, data warehouses, and real-time analytics solutions using Apache Airflow, Spark, Talend, and Snowflake. I have worked extensively with AWS, GCP, and on-premise infrastructures, optimizing large-scale data workflows and implementing CI/CD pipelines with Docker and Kubernetes. My recent focus has been on streaming data processing with Kafka and Flink, while continuously exploring emerging technologies like dbt and cloud-native data architectures to stay ahead in the field. Please check my Data Engineer portfolio

ETL Pipeline

Web scraping to google sheet

Walmart Sales Data Analysis with SQL + Talend + Snowflake + Power BI

Tableau:

In my Tableau project, I harnessed the power of visualization to communicate complex data trends effectively. Through the creation of interactive dashboards and storyboards, I transformed raw data into compelling narratives. Leveraging Tableau's advanced features, such as calculated fields and parameters, I enhanced the interactivity and customization of the visualizations. The end result not only met but exceeded user expectations, providing a visually engaging and informative experience. The project showcased my ability to translate data into actionable insights, demonstrating the impact of visualization in decision-making processes. Please check my Tableau portfolio

Sales Performance Analysis

Customer Profitability Analysis

Israel-Lebanon cross-border attacks

Customer Revenue Analysis

British Airways Reviews

Radaill Barchart

World Map

Calender Circle

Global Demographic

Power BI:

In this project, I leveraged the robust capabilities of Power BI to transform raw data into actionable insights. Utilizing Power Query and DAX, I seamlessly integrated disparate datasets to create a unified and interactive dashboard. The dynamic visualizations not only enhanced data comprehension but also facilitated trend analysis, providing key stakeholders with valuable insights. The report is designed with a user-friendly interface, enabling non-technical users to explore data effortlessly while ensuring data integrity and accuracy. Please check my PowerBI portfolio

Daraz headphone data analysis

Food Delivery Analysis

USA Crime Report

Credit Worthiness

Sales Analysis

Electric Vehicle Population

Hospital Ranking

Python:

Hello! I'm a passionate Python developer with a love for creating innovative solutions to real-world problems. With a background in Data Analysis, I've honed my skills in Python programming and enjoy diving into projects that challenge me to think creatively and push the boundaries of what's possible. Please check my Python portfolio

Product Recommendation System

Linear regression for marketing saless

Linear regression for marketing saless

Game Development with Pygame or Unity

SQL:

In this SQL project, I demonstrated my expertise in database management and query optimization. I designed and implemented a comprehensive database schema that efficiently organized and stored critical business data. Leveraging my strong SQL skills, I crafted complex queries to extract, transform, and load data seamlessly. The optimization techniques applied not only improved query performance but also enhanced overall system efficiency. The project showcases my ability to navigate large datasets, ensure data integrity, and provide efficient solutions to meet specific business requirements. Additionally, I implemented stored procedures and triggers, automating routine tasks and contributing to a more streamlined and error-resistant data environment. This experience reflects my commitment to delivering robust and scalable database solutions that empower data-driven decision-making. Please check my SQL portfolio

PLSQL Sales Data Analysis System

BigQuery Data Analysis

SQL Data Cleaning

Certifications

Google Data Analytics Professional Certificate:

Earning the Google Data Analytics Professional Certificate validated my proficiency in extracting meaningful insights from data. This comprehensive program equipped me with hands-on experience in manipulating and analyzing data using various tools, including Google Sheets, SQL, and data visualization platforms. The capstone project, in particular, allowed me to showcase my skills by tackling a real-world business problem. The certification not only signifies my technical competence but also reflects my commitment to staying at the forefront of industry-relevant technologies.

IBM Data Science Professional Certificate:

Completing the IBM Data Science Professional Certificate marked a significant milestone in my journey as a data analyst. This comprehensive program, developed in collaboration with industry experts, provided me with a holistic understanding of the data science lifecycle. Through hands-on projects using tools like Jupyter Notebooks and IBM Watson Studio, I honed my skills in data analysis, machine learning, and data visualization. The capstone project, in particular, demonstrated my ability to leverage data-driven insights for informed decision-making. This certification is a testament to my commitment to excellence and my readiness to tackle complex data challenges.

Foundations: Data, Data, Everywhere

Data Analysis with Python

What is Data Science? By IBM

The Data Scientist’s Toolbox

Training

Power BI:

Discuss the advantages of Power BI compared to other business intelligence tools, such as its user-friendly interface, seamless integration with Microsoft products, and powerful data modeling capabilities.

Explain how Power BI enables users to transform raw data into insightful visualizations and interactive reports.

Power BI Introduction

Contact

+88 017 555 07745

connect@tariqulismail.com

75 Lakecircus Kalabagan Dhaka, Bangladesh

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