Help & Supportcareers@gravityer.com
Data Engineer with 5+ years in SQL, Python & AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 5+ years of experience building scalable analytics solutions across Healthcare and Retail domains. Strong expertise in designing end-to-end ELT pipelines, data warehousing, and analytical reporting using SQL, Python, ClickHouse, Amazon Redshift, Airbyte, dbt, and Streamlit. Experienced in delivering business-critical dashboards and automated reports used by leadership for data-driven decision-making.
SASTRA University, Thanjavur
BTech (IT) · Information Technology
August 1, 2017 – June 30, 2021
Sri Chaitanya Junior College, Hyderabad
Intermediate
June 1, 2015 – May 31, 2017
Nagarjuna Model School, Kadapa
SSC
June 1, 2014 – May 31, 2015
Ensoftek Private Limited
Data Engineer
October 1, 2023 – Present
Hyderābād, Telangana, India
Ganit Business Solutions
Senior Data Analyst
June 1, 2021 – September 1, 2023
Chennai, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience spans both a business solutions company (Ganit) and a private limited company (Ensoftek), indicating adaptability to different organizational structures. Their work on diverse projects, including US Healthcare analytics, Andhra Pradesh State Government healthcare, and consumer goods demand forecasting, suggests a broad interest and ability to adapt to various business contexts. The use of a wide array of tools and technologies (ClickHouse, Streamlit, Airbyte, dbt, AWS, Apache Airflow, Superset, Plotly) points to a willingness to learn and integrate new technologies, which is a positive cultural fit for dynamic, innovation-driven environments. The focus on delivering actionable insights and reducing latency aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through performance optimization initiatives (e.g., MySQL to ClickHouse migration). Their experience in automating reporting workflows and building interactive dashboards indicates a focus on efficiency and user-centric solutions. The ability to work with diverse stakeholders (internal, external clients, government) suggests good communication and collaboration potential. The candidate's progression from Senior Data Analyst to Data Engineer indicates a proactive approach to skill development and career growth.