Tushar Mishra

Business Development Executive

Austin, Texas, United States4 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data processing and ETL optimization.
Proven track record in developing interactive dashboards.
Strong background in data engineering and analytics.

Stackforce AI infers this person is a Data Engineering and Business Intelligence specialist in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringBusiness IntelligenceData AnalyticsEtl Development

Other Skills

AWS RedshiftAmazon QuickSightAmazon S3Analytical SkillsAnalyticsApache AirflowApache KafkaApache SparkArtificial Intelligence (AI)Business RequirementsCloud ComputingCommunicationComputer ScienceCritical ThinkingData Analysis

About

With a freshly minted Master of Science in Management Information Systems from SUNY Buffalo, I am currently enhancing AWS's business intelligence capabilities. My role as a Business Intelligence Engineer II has me deeply engaged in data processing and ETL optimization, utilizing my expertise in SQL, Python, and cloud platforms like AWS Redshift. The team and I collaborate to improve data accessibility, ensuring robust analytics support for data-driven decision-making. My commitment lies in fostering innovation in analytics, and I am motivated by the challenge of transforming complex data into actionable insights for AWS and its clientele.

Experience

4 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 yr 10 mos

Current Experience

Amazon web services (aws)

Business Intelligence Engineer II

Aug 2024 – Present · 1 yr 10 mos · Austin, Texas, United States · On-site

Part of Data Center Engineering Analytics Team.
Performed data processing, logic customization, and data extraction using SQL (Amazon Redshift), AWS S3, Python, Excel Macros, Smartsheet, and Datamesh.
Developed interactive dashboards using Amazon QuickSight and Tableau for the Data Center community as part of a program that collectively saved $XX, improving operational insights and efficiency.
Collaborated with data engineers to build, optimize, and maintain 50+ Glue data pipelines and ETL workflows.

SQLPythonAWS RedshiftData ProcessingETL OptimizationAmazon QuickSight+3

University at buffalo

Front Desk Assistant

Sep 2023 – May 2024 · 8 mos · Buffalo, New York, United States

Tata consultancy services

2 roles

Data Engineer

Mar 2022 – Jul 2023 · 1 yr 4 mos

Engineered 20+ real-time data pipelines with Kafka and SQL Stored Procedures, enhancing system scalability and reliability by decoupling frontend and backend data communication.
Developed data models and data dictionaries for the Fast Data Access team to store, process, and analyze large amounts of data from CRM, COM, and 5+ other systems, improving data accessibility and consistency across the organization.
Analyzed telecom domain data of 18M monthly active subscribers and >28M monthly orders to guide marketing and product strategy teams, resulting in a 10% reduction in churn and an 8% increase in customer satisfaction (CSAT).
Crafted dashboards using Tableau and Power BI to display >10 key performance indicators (KPIs) related to customer behavior and network optimizations, enhancing data visibility and decision-making processes.
Constructed real-time automated reporting procedures using Python and Spark that standardized metrics across the company, saving >200 monthly hours of manual reporting by implementing advanced data integration and automation techniques.
Drove a high-performing 7-member team as the Development Lead, propelling to conquer multiple sprints with unmatched efficiency and delivering exceptional results, keeping defect count below 5.

KafkaSQL Stored ProceduresData ModelsTableauPower BIPython+3

SQL Kafka Developer - Digital Cadre

Oct 2020 – Mar 2022 · 1 yr 5 mos

Developed and maintained >30 MySQL scripts and stored procedures to clean, transform, and load data from more than 10 diverse sources, ensuring data integrity and quality to support critical business operations.
Created Kafka Memsql Pipelines for stream processing, achieving an impressive throughput of 100,000 TPS.
Collaborated to optimize SingleStore's in-memory OLTP database, achieving a 10x response time improvement and ensuring sub-10ms query efficiency for enhanced business operations.
Utilized Python scripting for monitoring and automation responsibilities.
Developed a Proof of Concept (POC) to seamlessly integrate data flow, incorporating Amazon S3, Glue (PySpark), and Redshift to optimize ETL and Data Warehousing operations.

MySQLKafkaPythonAmazon S3GlueRedshift+2