Saketh Checka, Developer in Johnstown, ON, Canada
Saketh is available for hire
Hire Saketh

Saketh Checka

Verified Expert  in Engineering

Bio

Saketh is a business intelligence analyst and analytics consultant with five years of experience. He loves to dig into data, find patterns, and make elegant visualizations; he's passionate about creating, scaling, and optimizing organizational reporting that matters. Saketh also enjoys exploring tools and technologies related to databases, ETL, and visualizations. He's looking forward to meeting his clients' needs by building the best products for them and their organizations.

Portfolio

Amazon Advertising
Amazon Web Services (AWS), Amazon QuickSight, Redshift, AWS Glue, Amazon Athena...
The Argus Group
Databricks, SQL, PySpark, Azure, ETL, Databases, Data Warehousing, Python...
Argus Group
Azure, SQL Server Reporting Services (SSRS), Microsoft SQL Server...

Experience

  • SQL - 10 years
  • Python - 8 years
  • Excel 2013 - 5 years
  • Microsoft Power BI - 5 years
  • Microsoft Power Automate - 4 years
  • Azure - 3 years
  • Python 3 - 3 years
  • PySpark - 1 year

Availability

Part-time

Preferred Environment

Python 3, Microsoft Power BI, SQL, PySpark, Databricks, Azure, Apache Superset, Python, Amazon Web Services (AWS), Amazon QuickSight

The most amazing...

...thing I've automated is a reporting process across various departments that saved 100+ hours a day in manual work.

Work Experience

Business Intelligence Engineer

2022 - PRESENT
Amazon Advertising
  • Developed a dashboard that shows the relationship between different account types and user interactions in advertising the Amazon.com console. Built ETL to get data for the report in Redshift and internal Amazon tools.
  • Implemented CI/CD for ETL jobs. Onboarded more than 150 jobs to the CI/CD platform.
  • Created stored procedures in Redshift to load data that are used for multiple reports.
Technologies: Amazon Web Services (AWS), Amazon QuickSight, Redshift, AWS Glue, Amazon Athena, Data Modeling, Data Engineering, Data Build Tool (dbt), Data Pipelines, Data Analytics, Dimensional Modeling, Star Schema, Data Transformation

Data Engineer

2021 - 2022
The Argus Group
  • Analyzed cloud resource usage and optimized resources and schedules to generate $24,000 in annual savings.
  • Reengineered processes in Azure to utilize economies of scale that saved over $100,000 annually in outsourcing costs.
  • Owned the development of a GDPR-compliant data hub in Azure using DataBricks (PySpark) and Azure Data Factory.
  • Launched a data operation center in PowerBI that shows the data lineage, integrity, and quality of the data hub.
  • Ensured organization-wide data integrity by building ingestion data pipelines using data from multiple systems.
  • Automated complex business requirements using Power Automate, including capturing survey responses from Microsoft Forms, updating ServiceNow tickets, updating SQL Server table when an email is received or sent, and sending emails with a list of issues.
  • Used Power Automate to capture data that updates 600 times/min and is written back to SQL Server table, which is further used for analysis and reporting in PowerBI.
Technologies: Databricks, SQL, PySpark, Azure, ETL, Databases, Data Warehousing, Python, Microsoft Excel, Data Modeling, Data Engineering, Data Build Tool (dbt), Data Pipelines, Data Analytics, Dimensional Modeling, Snowflake, Star Schema, Data Transformation

Business Intelligence Analyst

2019 - 2021
Argus Group
  • Revamped data pipelines using indexing and SQL performance tuning, reducing the data refresh time by more than 90%.
  • Collaborated with technical and non-technical teams to identify business and research requirements, leading to various KPIs and reports development.
  • Worked with various support teams to develop metrics and KPIs that helped reduce resolution time by approximately 50%.
  • Developed and implemented data solutions for various teams on multiple projects that resulted in overall cost savings or performance improvement.
  • Created and maintained Power BI reports and dashboards that are used daily by over 500 people.
  • Developed SSRS reports and automated them to send receipts, payments, and invoices, saving around 50,000 yearly in paper and postal expenses.
Technologies: Azure, SQL Server Reporting Services (SSRS), Microsoft SQL Server, Microsoft Power BI, Python 3, Databricks, Azure Data Factory (ADF), PySpark, ETL, Databases, Data Warehousing, Python, Microsoft Excel, Microsoft Power Automate, Data Modeling, Data Engineering, Data Pipelines, Data Analytics, Dimensional Modeling, Snowflake, Star Schema, Data Transformation

Analytics Consultant

2017 - 2019
Lumeris
  • Created reporting processes for finance, claims, customer service, and other departments to track their KPIs and SLAs.
  • Created a reporting system in SSRS to automate report generation and eliminated manual report creation.
  • Saved more than 100+ hours on a monthly basis by automating the risk adjustment process.
Technologies: Tableau, SAS, Microsoft Power BI, Microsoft SQL Server, Jira, ETL, Databases, Microsoft Excel, Data Modeling, Data Engineering, Data Pipelines, Data Analytics, Dimensional Modeling, Star Schema, Data Transformation

Experience

Senior Data Analyst

As a senior data analyst at a service-based company, I collaborated with various clients to craft Power BI reports and embed them into their systems. My responsibilities included managing the data warehouse, designing and maintaining the ETL process, and creating custom metrics and APIs to meet business needs.

Performance Management

I designed an end-to-end solution to capture the performance management of managers across the organization. I utilized Microsoft 365 tools such as Microsoft Forms, Microsoft Teams, Power Automate, SQL Server, and Power BI to create an automated data pipeline and reporting process. This solution saved $50,000 in annual commissions to 3rd-party consultants by developing the in-house solution.

Power BI Developer

As a Power BI developer at a manufacturing company, I spearheaded the setup of their Power BI infrastructure from the ground up. This involved establishing workspaces, managing user access, and configuring both on-premises and cloud data connections. I developed and maintained reports and dashboards covering financial, sales, and manufacturing metrics. Additionally, I provided training sessions to empower the team to independently manage and utilize Power BI resources.

Education

2014 - 2015

Master's Degree in Industrial Engineering

University of Minnesota - Minneapolis, MN, USA

2010 - 2014

Bachelor's Degree in Mechanical Engineering

Amrita Vishwa Vidyapeetham - Coimbatore, Tamil Nadu, India

Certifications

AUGUST 2021 - PRESENT

Microsoft Certified: Azure Data Fundamentals

Microsoft

SEPTEMBER 2020 - PRESENT

AWS Certified Developer – Associate

Amazon Web Services

AUGUST 2020 - AUGUST 2023

CKAD: Certified Kubernetes Application Developer

The Linux Foundation

MAY 2020 - SEPTEMBER 2023

AWS Certified Cloud Practitioner

Amazon Web Services

AUGUST 2019 - PRESENT

Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI

Microsoft

NOVEMBER 2018 - PRESENT

Tableau Desktop Specialist

Tableau

Skills

Libraries/APIs

PySpark, ODBC

Tools

Microsoft Power BI, Microsoft Excel, Excel 2013, Tableau, Jira, Amazon QuickSight, AWS Glue, Amazon Athena

Languages

SQL, Python 3, Python, Snowflake, SAS

Paradigms

ETL, Business Intelligence (BI), Dimensional Modeling

Storage

Databases, SQL Server 2016, Data Pipelines, Azure SQL, SQL Server Reporting Services (SSRS), Microsoft SQL Server, Redshift, Data Integration

Platforms

Azure, Microsoft Power Automate, Databricks, Amazon Web Services (AWS), Kubernetes, Docker, Windows

Other

Data Warehousing, Reports, Reporting, Data Visualization, Dashboards, Data Analytics, Star Schema, Data Transformation, Data Modeling, Data Engineering, Data Build Tool (dbt), Azure Data Factory (ADF), Teams, Excel 365, Data Structures, Apache Superset, Data Analysis, Analytics

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring